//===----------------------------------------------------------------------===//
//
// This source file is part of the Soto for AWS open source project
//
// Copyright (c) 2017-2024 the Soto project authors
// Licensed under Apache License v2.0
//
// See LICENSE.txt for license information
// See CONTRIBUTORS.txt for the list of Soto project authors
//
// SPDX-License-Identifier: Apache-2.0
//
//===----------------------------------------------------------------------===//

// THIS FILE IS AUTOMATICALLY GENERATED by https://github.com/soto-project/soto-codegenerator.
// DO NOT EDIT.

#if canImport(FoundationEssentials)
import FoundationEssentials
#else
import Foundation
#endif
@_spi(SotoInternal) import SotoCore

extension ComputeOptimizer {
    // MARK: Enums

    public enum AllocationStrategy: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case lowestPrice = "LowestPrice"
        case prioritized = "Prioritized"
        public var description: String { return self.rawValue }
    }

    public enum AsgType: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case mixedInstanceType = "MixedInstanceTypes"
        case singleInstanceType = "SingleInstanceType"
        public var description: String { return self.rawValue }
    }

    public enum AutoScalingConfiguration: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case targetTrackingScalingCpu = "TargetTrackingScalingCpu"
        case targetTrackingScalingMemory = "TargetTrackingScalingMemory"
        public var description: String { return self.rawValue }
    }

    public enum CpuVendorArchitecture: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case awsArm64 = "AWS_ARM64"
        case current = "CURRENT"
        public var description: String { return self.rawValue }
    }

    public enum Currency: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case cny = "CNY"
        case usd = "USD"
        public var description: String { return self.rawValue }
    }

    public enum CurrentPerformanceRisk: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case high = "High"
        case low = "Low"
        case medium = "Medium"
        case veryLow = "VeryLow"
        public var description: String { return self.rawValue }
    }

    public enum CustomizableMetricHeadroom: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case percent0 = "PERCENT_0"
        case percent10 = "PERCENT_10"
        case percent20 = "PERCENT_20"
        case percent30 = "PERCENT_30"
        public var description: String { return self.rawValue }
    }

    public enum CustomizableMetricName: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case cpuUtilization = "CpuUtilization"
        case memoryUtilization = "MemoryUtilization"
        public var description: String { return self.rawValue }
    }

    public enum CustomizableMetricThreshold: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case p90 = "P90"
        case p95 = "P95"
        case p995 = "P99_5"
        public var description: String { return self.rawValue }
    }

    public enum Dimension: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case savingsValue = "SavingsValue"
        case savingsValueAfterDiscount = "SavingsValueAfterDiscount"
        public var description: String { return self.rawValue }
    }

    public enum EBSFilterName: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case finding = "Finding"
        public var description: String { return self.rawValue }
    }

    public enum EBSFinding: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case notOptimized = "NotOptimized"
        case optimized = "Optimized"
        public var description: String { return self.rawValue }
    }

    public enum EBSMetricName: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case volumeReadBytesPerSecond = "VolumeReadBytesPerSecond"
        case volumeReadOpsPerSecond = "VolumeReadOpsPerSecond"
        case volumeWriteBytesPerSecond = "VolumeWriteBytesPerSecond"
        case volumeWriteOpsPerSecond = "VolumeWriteOpsPerSecond"
        public var description: String { return self.rawValue }
    }

    public enum EBSSavingsEstimationModeSource: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case costExplorerRightsizing = "CostExplorerRightsizing"
        case costOptimizationHub = "CostOptimizationHub"
        case publicPricing = "PublicPricing"
        public var description: String { return self.rawValue }
    }

    public enum ECSSavingsEstimationModeSource: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case costExplorerRightsizing = "CostExplorerRightsizing"
        case costOptimizationHub = "CostOptimizationHub"
        case publicPricing = "PublicPricing"
        public var description: String { return self.rawValue }
    }

    public enum ECSServiceLaunchType: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case ec2 = "EC2"
        case fargate = "Fargate"
        public var description: String { return self.rawValue }
    }

    public enum ECSServiceMetricName: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case cpu = "Cpu"
        case memory = "Memory"
        public var description: String { return self.rawValue }
    }

    public enum ECSServiceMetricStatistic: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case average = "Average"
        case maximum = "Maximum"
        public var description: String { return self.rawValue }
    }

    public enum ECSServiceRecommendationFilterName: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case finding = "Finding"
        case findingReasonCode = "FindingReasonCode"
        public var description: String { return self.rawValue }
    }

    public enum ECSServiceRecommendationFinding: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case optimized = "Optimized"
        case overProvisioned = "Overprovisioned"
        case underProvisioned = "Underprovisioned"
        public var description: String { return self.rawValue }
    }

    public enum ECSServiceRecommendationFindingReasonCode: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case cpuOverProvisioned = "CPUOverprovisioned"
        case cpuUnderProvisioned = "CPUUnderprovisioned"
        case memoryOverProvisioned = "MemoryOverprovisioned"
        case memoryUnderProvisioned = "MemoryUnderprovisioned"
        public var description: String { return self.rawValue }
    }

    public enum EnhancedInfrastructureMetrics: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case active = "Active"
        case inactive = "Inactive"
        public var description: String { return self.rawValue }
    }

    public enum EnrollmentFilterName: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case status = "Status"
        public var description: String { return self.rawValue }
    }

    public enum ExportableAutoScalingGroupField: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case accountId = "AccountId"
        case autoScalingGroupArn = "AutoScalingGroupArn"
        case autoScalingGroupName = "AutoScalingGroupName"
        case currentConfigurationAllocationStrategy = "CurrentConfigurationAllocationStrategy"
        case currentConfigurationDesiredCapacity = "CurrentConfigurationDesiredCapacity"
        case currentConfigurationInstanceType = "CurrentConfigurationInstanceType"
        case currentConfigurationMaxSize = "CurrentConfigurationMaxSize"
        case currentConfigurationMinSize = "CurrentConfigurationMinSize"
        case currentConfigurationMixedInstanceTypes = "CurrentConfigurationMixedInstanceTypes"
        case currentConfigurationType = "CurrentConfigurationType"
        case currentInstanceGpuInfo = "CurrentInstanceGpuInfo"
        case currentMemory = "CurrentMemory"
        case currentNetwork = "CurrentNetwork"
        case currentOnDemandPrice = "CurrentOnDemandPrice"
        case currentPerformanceRisk = "CurrentPerformanceRisk"
        case currentStandardOneYearNoUpfrontReservedPrice = "CurrentStandardOneYearNoUpfrontReservedPrice"
        case currentStandardThreeYearNoUpfrontReservedPrice = "CurrentStandardThreeYearNoUpfrontReservedPrice"
        case currentStorage = "CurrentStorage"
        case currentVcpus = "CurrentVCpus"
        case effectiveRecommendationPreferencesCpuVendorArchitectures = "EffectiveRecommendationPreferencesCpuVendorArchitectures"
        case effectiveRecommendationPreferencesEnhancedInfrastructureMetrics = "EffectiveRecommendationPreferencesEnhancedInfrastructureMetrics"
        case effectiveRecommendationPreferencesInferredWorkloadTypes = "EffectiveRecommendationPreferencesInferredWorkloadTypes"
        case effectiveRecommendationPreferencesLookbackPeriod = "EffectiveRecommendationPreferencesLookBackPeriod"
        case effectiveRecommendationPreferencesPreferredResources = "EffectiveRecommendationPreferencesPreferredResources"
        case effectiveRecommendationPreferencesSavingsEstimationMode = "EffectiveRecommendationPreferencesSavingsEstimationMode"
        case finding = "Finding"
        case inferredWorkloadTypes = "InferredWorkloadTypes"
        case lastRefreshTimestamp = "LastRefreshTimestamp"
        case lookbackPeriodInDays = "LookbackPeriodInDays"
        case recommendationOptionsConfigurationAllocationStrategy = "RecommendationOptionsConfigurationAllocationStrategy"
        case recommendationOptionsConfigurationDesiredCapacity = "RecommendationOptionsConfigurationDesiredCapacity"
        case recommendationOptionsConfigurationEstimatedInstanceHourReductionPercentage = "RecommendationOptionsConfigurationEstimatedInstanceHourReductionPercentage"
        case recommendationOptionsConfigurationInstanceType = "RecommendationOptionsConfigurationInstanceType"
        case recommendationOptionsConfigurationMaxSize = "RecommendationOptionsConfigurationMaxSize"
        case recommendationOptionsConfigurationMinSize = "RecommendationOptionsConfigurationMinSize"
        case recommendationOptionsConfigurationMixedInstanceTypes = "RecommendationOptionsConfigurationMixedInstanceTypes"
        case recommendationOptionsConfigurationType = "RecommendationOptionsConfigurationType"
        case recommendationOptionsEstimatedMonthlySavingsCurrency = "RecommendationOptionsEstimatedMonthlySavingsCurrency"
        case recommendationOptionsEstimatedMonthlySavingsCurrencyAfterDiscounts = "RecommendationOptionsEstimatedMonthlySavingsCurrencyAfterDiscounts"
        case recommendationOptionsEstimatedMonthlySavingsValue = "RecommendationOptionsEstimatedMonthlySavingsValue"
        case recommendationOptionsEstimatedMonthlySavingsValueAfterDiscounts = "RecommendationOptionsEstimatedMonthlySavingsValueAfterDiscounts"
        case recommendationOptionsInstanceGpuInfo = "RecommendationOptionsInstanceGpuInfo"
        case recommendationOptionsMemory = "RecommendationOptionsMemory"
        case recommendationOptionsMigrationEffort = "RecommendationOptionsMigrationEffort"
        case recommendationOptionsNetwork = "RecommendationOptionsNetwork"
        case recommendationOptionsOnDemandPrice = "RecommendationOptionsOnDemandPrice"
        case recommendationOptionsPerformanceRisk = "RecommendationOptionsPerformanceRisk"
        case recommendationOptionsProjectedUtilizationMetricsCpuMaximum = "RecommendationOptionsProjectedUtilizationMetricsCpuMaximum"
        case recommendationOptionsProjectedUtilizationMetricsGpuMaximum = "RecommendationOptionsProjectedUtilizationMetricsGpuPercentageMaximum"
        case recommendationOptionsProjectedUtilizationMetricsGpuMemoryMaximum = "RecommendationOptionsProjectedUtilizationMetricsGpuMemoryPercentageMaximum"
        case recommendationOptionsProjectedUtilizationMetricsMemoryMaximum = "RecommendationOptionsProjectedUtilizationMetricsMemoryMaximum"
        case recommendationOptionsSavingsOpportunityAfterDiscountsPercentage = "RecommendationOptionsSavingsOpportunityAfterDiscountsPercentage"
        case recommendationOptionsSavingsOpportunityPercentage = "RecommendationOptionsSavingsOpportunityPercentage"
        case recommendationOptionsStandardOneYearNoUpfrontReservedPrice = "RecommendationOptionsStandardOneYearNoUpfrontReservedPrice"
        case recommendationOptionsStandardThreeYearNoUpfrontReservedPrice = "RecommendationOptionsStandardThreeYearNoUpfrontReservedPrice"
        case recommendationOptionsStorage = "RecommendationOptionsStorage"
        case recommendationOptionsVcpus = "RecommendationOptionsVcpus"
        case utilizationMetricsCpuMaximum = "UtilizationMetricsCpuMaximum"
        case utilizationMetricsDiskReadBytesPerSecondMaximum = "UtilizationMetricsDiskReadBytesPerSecondMaximum"
        case utilizationMetricsDiskReadOpsPerSecondMaximum = "UtilizationMetricsDiskReadOpsPerSecondMaximum"
        case utilizationMetricsDiskWriteBytesPerSecondMaximum = "UtilizationMetricsDiskWriteBytesPerSecondMaximum"
        case utilizationMetricsDiskWriteOpsPerSecondMaximum = "UtilizationMetricsDiskWriteOpsPerSecondMaximum"
        case utilizationMetricsEbsReadBytesPerSecondMaximum = "UtilizationMetricsEbsReadBytesPerSecondMaximum"
        case utilizationMetricsEbsReadOpsPerSecondMaximum = "UtilizationMetricsEbsReadOpsPerSecondMaximum"
        case utilizationMetricsEbsWriteBytesPerSecondMaximum = "UtilizationMetricsEbsWriteBytesPerSecondMaximum"
        case utilizationMetricsEbsWriteOpsPerSecondMaximum = "UtilizationMetricsEbsWriteOpsPerSecondMaximum"
        case utilizationMetricsGpuMemoryPercentageMaximum = "UtilizationMetricsGpuMemoryPercentageMaximum"
        case utilizationMetricsGpuPercentageMaximum = "UtilizationMetricsGpuPercentageMaximum"
        case utilizationMetricsMemoryMaximum = "UtilizationMetricsMemoryMaximum"
        case utilizationMetricsNetworkInBytesPerSecondMaximum = "UtilizationMetricsNetworkInBytesPerSecondMaximum"
        case utilizationMetricsNetworkOutBytesPerSecondMaximum = "UtilizationMetricsNetworkOutBytesPerSecondMaximum"
        case utilizationMetricsNetworkPacketsInPerSecondMaximum = "UtilizationMetricsNetworkPacketsInPerSecondMaximum"
        case utilizationMetricsNetworkPacketsOutPerSecondMaximum = "UtilizationMetricsNetworkPacketsOutPerSecondMaximum"
        public var description: String { return self.rawValue }
    }

    public enum ExportableECSServiceField: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case accountId = "AccountId"
        case currentPerformanceRisk = "CurrentPerformanceRisk"
        case currentServiceConfigurationAutoScalingConfiguration = "CurrentServiceConfigurationAutoScalingConfiguration"
        case currentServiceConfigurationCpu = "CurrentServiceConfigurationCpu"
        case currentServiceConfigurationMemory = "CurrentServiceConfigurationMemory"
        case currentServiceConfigurationTaskDefinitionArn = "CurrentServiceConfigurationTaskDefinitionArn"
        case currentServiceContainerConfigurations = "CurrentServiceContainerConfigurations"
        case effectiveRecommendationPreferencesSavingsEstimationMode = "EffectiveRecommendationPreferencesSavingsEstimationMode"
        case finding = "Finding"
        case findingReasonCodes = "FindingReasonCodes"
        case lastRefreshTimestamp = "LastRefreshTimestamp"
        case launchType = "LaunchType"
        case lookbackPeriodInDays = "LookbackPeriodInDays"
        case recommendationOptionsContainerRecommendations = "RecommendationOptionsContainerRecommendations"
        case recommendationOptionsCpu = "RecommendationOptionsCpu"
        case recommendationOptionsEstimatedMonthlySavingsCurrency = "RecommendationOptionsEstimatedMonthlySavingsCurrency"
        case recommendationOptionsEstimatedMonthlySavingsCurrencyAfterDiscounts = "RecommendationOptionsEstimatedMonthlySavingsCurrencyAfterDiscounts"
        case recommendationOptionsEstimatedMonthlySavingsValue = "RecommendationOptionsEstimatedMonthlySavingsValue"
        case recommendationOptionsEstimatedMonthlySavingsValueAfterDiscounts = "RecommendationOptionsEstimatedMonthlySavingsValueAfterDiscounts"
        case recommendationOptionsMemory = "RecommendationOptionsMemory"
        case recommendationOptionsProjectedUtilizationMetricsCpuMaximum = "RecommendationOptionsProjectedUtilizationMetricsCpuMaximum"
        case recommendationOptionsProjectedUtilizationMetricsMemoryMaximum = "RecommendationOptionsProjectedUtilizationMetricsMemoryMaximum"
        case recommendationOptionsSavingsOpportunityAfterDiscountsPercentage = "RecommendationOptionsSavingsOpportunityAfterDiscountsPercentage"
        case recommendationOptionsSavingsOpportunityPercentage = "RecommendationOptionsSavingsOpportunityPercentage"
        case serviceArn = "ServiceArn"
        case tags = "Tags"
        case utilizationMetricsCpuMaximum = "UtilizationMetricsCpuMaximum"
        case utilizationMetricsMemoryMaximum = "UtilizationMetricsMemoryMaximum"
        public var description: String { return self.rawValue }
    }

    public enum ExportableIdleField: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case accountId = "AccountId"
        case finding = "Finding"
        case findingDescription = "FindingDescription"
        case lastRefreshTimestamp = "LastRefreshTimestamp"
        case lookbackPeriodInDays = "LookbackPeriodInDays"
        case resourceArn = "ResourceArn"
        case resourceId = "ResourceId"
        case resourceType = "ResourceType"
        case savingsOpportunity = "SavingsOpportunity"
        case savingsOpportunityAfterDiscount = "SavingsOpportunityAfterDiscount"
        case tags = "Tags"
        case utilizationMetricsCpuMaximum = "UtilizationMetricsCpuMaximum"
        case utilizationMetricsDatabaseConnectionsMaximum = "UtilizationMetricsDatabaseConnectionsMaximum"
        case utilizationMetricsEbsVolumeReadIopsMaximum = "UtilizationMetricsEBSVolumeReadIOPSMaximum"
        case utilizationMetricsEbsVolumeWriteIopsMaximum = "UtilizationMetricsEBSVolumeWriteIOPSMaximum"
        case utilizationMetricsMemoryMaximum = "UtilizationMetricsMemoryMaximum"
        case utilizationMetricsNetworkInBytesPerSecondMaximum = "UtilizationMetricsNetworkInBytesPerSecondMaximum"
        case utilizationMetricsNetworkOutBytesPerSecondMaximum = "UtilizationMetricsNetworkOutBytesPerSecondMaximum"
        case utilizationMetricsVolumeReadOpsPerSecondMaximum = "UtilizationMetricsVolumeReadOpsPerSecondMaximum"
        case utilizationMetricsVolumeWriteOpsPerSecondMaximum = "UtilizationMetricsVolumeWriteOpsPerSecondMaximum"
        public var description: String { return self.rawValue }
    }

    public enum ExportableInstanceField: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case accountId = "AccountId"
        case currentInstanceGpuInfo = "CurrentInstanceGpuInfo"
        case currentInstanceType = "CurrentInstanceType"
        case currentMemory = "CurrentMemory"
        case currentNetwork = "CurrentNetwork"
        case currentOnDemandPrice = "CurrentOnDemandPrice"
        case currentPerformanceRisk = "CurrentPerformanceRisk"
        case currentStandardOneYearNoUpfrontReservedPrice = "CurrentStandardOneYearNoUpfrontReservedPrice"
        case currentStandardThreeYearNoUpfrontReservedPrice = "CurrentStandardThreeYearNoUpfrontReservedPrice"
        case currentStorage = "CurrentStorage"
        case currentVcpus = "CurrentVCpus"
        case effectiveRecommendationPreferencesCpuVendorArchitectures = "EffectiveRecommendationPreferencesCpuVendorArchitectures"
        case effectiveRecommendationPreferencesEnhancedInfrastructureMetrics = "EffectiveRecommendationPreferencesEnhancedInfrastructureMetrics"
        case effectiveRecommendationPreferencesExternalMetricsSource = "EffectiveRecommendationPreferencesExternalMetricsSource"
        case effectiveRecommendationPreferencesInferredWorkloadTypes = "EffectiveRecommendationPreferencesInferredWorkloadTypes"
        case effectiveRecommendationPreferencesLookbackPeriod = "EffectiveRecommendationPreferencesLookBackPeriod"
        case effectiveRecommendationPreferencesPreferredResources = "EffectiveRecommendationPreferencesPreferredResources"
        case effectiveRecommendationPreferencesSavingsEstimationMode = "EffectiveRecommendationPreferencesSavingsEstimationMode"
        case effectiveRecommendationPreferencesUtilizationPreferences = "EffectiveRecommendationPreferencesUtilizationPreferences"
        case externalMetricStatusCode = "ExternalMetricStatusCode"
        case externalMetricStatusReason = "ExternalMetricStatusReason"
        case finding = "Finding"
        case findingReasonCodes = "FindingReasonCodes"
        case idle = "Idle"
        case inferredWorkloadTypes = "InferredWorkloadTypes"
        case instanceArn = "InstanceArn"
        case instanceName = "InstanceName"
        case instanceState = "InstanceState"
        case lastRefreshTimestamp = "LastRefreshTimestamp"
        case lookbackPeriodInDays = "LookbackPeriodInDays"
        case recommendationOptionsEstimatedMonthlySavingsCurrency = "RecommendationOptionsEstimatedMonthlySavingsCurrency"
        case recommendationOptionsEstimatedMonthlySavingsCurrencyAfterDiscounts = "RecommendationOptionsEstimatedMonthlySavingsCurrencyAfterDiscounts"
        case recommendationOptionsEstimatedMonthlySavingsValue = "RecommendationOptionsEstimatedMonthlySavingsValue"
        case recommendationOptionsEstimatedMonthlySavingsValueAfterDiscounts = "RecommendationOptionsEstimatedMonthlySavingsValueAfterDiscounts"
        case recommendationOptionsInstanceGpuInfo = "RecommendationOptionsInstanceGpuInfo"
        case recommendationOptionsInstanceType = "RecommendationOptionsInstanceType"
        case recommendationOptionsMemory = "RecommendationOptionsMemory"
        case recommendationOptionsMigrationEffort = "RecommendationOptionsMigrationEffort"
        case recommendationOptionsNetwork = "RecommendationOptionsNetwork"
        case recommendationOptionsOnDemandPrice = "RecommendationOptionsOnDemandPrice"
        case recommendationOptionsPerformanceRisk = "RecommendationOptionsPerformanceRisk"
        case recommendationOptionsPlatformDifferences = "RecommendationOptionsPlatformDifferences"
        case recommendationOptionsProjectedUtilizationMetricsCpuMaximum = "RecommendationOptionsProjectedUtilizationMetricsCpuMaximum"
        case recommendationOptionsProjectedUtilizationMetricsGpuMemoryPercentageMaximum = "RecommendationOptionsProjectedUtilizationMetricsGpuMemoryPercentageMaximum"
        case recommendationOptionsProjectedUtilizationMetricsGpuPercentageMaximum = "RecommendationOptionsProjectedUtilizationMetricsGpuPercentageMaximum"
        case recommendationOptionsProjectedUtilizationMetricsMemoryMaximum = "RecommendationOptionsProjectedUtilizationMetricsMemoryMaximum"
        case recommendationOptionsSavingsOpportunityAfterDiscountsPercentage = "RecommendationOptionsSavingsOpportunityAfterDiscountsPercentage"
        case recommendationOptionsSavingsOpportunityPercentage = "RecommendationOptionsSavingsOpportunityPercentage"
        case recommendationOptionsStandardOneYearNoUpfrontReservedPrice = "RecommendationOptionsStandardOneYearNoUpfrontReservedPrice"
        case recommendationOptionsStandardThreeYearNoUpfrontReservedPrice = "RecommendationOptionsStandardThreeYearNoUpfrontReservedPrice"
        case recommendationOptionsStorage = "RecommendationOptionsStorage"
        case recommendationOptionsVcpus = "RecommendationOptionsVcpus"
        case recommendationsSourcesRecommendationSourceArn = "RecommendationsSourcesRecommendationSourceArn"
        case recommendationsSourcesRecommendationSourceType = "RecommendationsSourcesRecommendationSourceType"
        case tags = "Tags"
        case utilizationMetricsCpuMaximum = "UtilizationMetricsCpuMaximum"
        case utilizationMetricsDiskReadBytesPerSecondMaximum = "UtilizationMetricsDiskReadBytesPerSecondMaximum"
        case utilizationMetricsDiskReadOpsPerSecondMaximum = "UtilizationMetricsDiskReadOpsPerSecondMaximum"
        case utilizationMetricsDiskWriteBytesPerSecondMaximum = "UtilizationMetricsDiskWriteBytesPerSecondMaximum"
        case utilizationMetricsDiskWriteOpsPerSecondMaximum = "UtilizationMetricsDiskWriteOpsPerSecondMaximum"
        case utilizationMetricsEbsReadBytesPerSecondMaximum = "UtilizationMetricsEbsReadBytesPerSecondMaximum"
        case utilizationMetricsEbsReadOpsPerSecondMaximum = "UtilizationMetricsEbsReadOpsPerSecondMaximum"
        case utilizationMetricsEbsWriteBytesPerSecondMaximum = "UtilizationMetricsEbsWriteBytesPerSecondMaximum"
        case utilizationMetricsEbsWriteOpsPerSecondMaximum = "UtilizationMetricsEbsWriteOpsPerSecondMaximum"
        case utilizationMetricsGpuMemoryPercentageMaximum = "UtilizationMetricsGpuMemoryPercentageMaximum"
        case utilizationMetricsGpuPercentageMaximum = "UtilizationMetricsGpuPercentageMaximum"
        case utilizationMetricsMemoryMaximum = "UtilizationMetricsMemoryMaximum"
        case utilizationMetricsNetworkInBytesPerSecondMaximum = "UtilizationMetricsNetworkInBytesPerSecondMaximum"
        case utilizationMetricsNetworkOutBytesPerSecondMaximum = "UtilizationMetricsNetworkOutBytesPerSecondMaximum"
        case utilizationMetricsNetworkPacketsInPerSecondMaximum = "UtilizationMetricsNetworkPacketsInPerSecondMaximum"
        case utilizationMetricsNetworkPacketsOutPerSecondMaximum = "UtilizationMetricsNetworkPacketsOutPerSecondMaximum"
        public var description: String { return self.rawValue }
    }

    public enum ExportableLambdaFunctionField: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case accountId = "AccountId"
        case currentConfigurationMemorySize = "CurrentConfigurationMemorySize"
        case currentConfigurationTimeout = "CurrentConfigurationTimeout"
        case currentCostAverage = "CurrentCostAverage"
        case currentCostTotal = "CurrentCostTotal"
        case currentPerformanceRisk = "CurrentPerformanceRisk"
        case effectiveRecommendationPreferencesSavingsEstimationMode = "EffectiveRecommendationPreferencesSavingsEstimationMode"
        case finding = "Finding"
        case findingReasonCodes = "FindingReasonCodes"
        case functionArn = "FunctionArn"
        case functionVersion = "FunctionVersion"
        case lastRefreshTimestamp = "LastRefreshTimestamp"
        case lookbackPeriodInDays = "LookbackPeriodInDays"
        case numberOfInvocations = "NumberOfInvocations"
        case recommendationOptionsConfigurationMemorySize = "RecommendationOptionsConfigurationMemorySize"
        case recommendationOptionsCostHigh = "RecommendationOptionsCostHigh"
        case recommendationOptionsCostLow = "RecommendationOptionsCostLow"
        case recommendationOptionsEstimatedMonthlySavingsCurrency = "RecommendationOptionsEstimatedMonthlySavingsCurrency"
        case recommendationOptionsEstimatedMonthlySavingsCurrencyAfterDiscounts = "RecommendationOptionsEstimatedMonthlySavingsCurrencyAfterDiscounts"
        case recommendationOptionsEstimatedMonthlySavingsValue = "RecommendationOptionsEstimatedMonthlySavingsValue"
        case recommendationOptionsEstimatedMonthlySavingsValueAfterDiscounts = "RecommendationOptionsEstimatedMonthlySavingsValueAfterDiscounts"
        case recommendationOptionsProjectedUtilizationMetricsDurationExpected = "RecommendationOptionsProjectedUtilizationMetricsDurationExpected"
        case recommendationOptionsProjectedUtilizationMetricsDurationLowerBound = "RecommendationOptionsProjectedUtilizationMetricsDurationLowerBound"
        case recommendationOptionsProjectedUtilizationMetricsDurationUpperBound = "RecommendationOptionsProjectedUtilizationMetricsDurationUpperBound"
        case recommendationOptionsSavingsOpportunityAfterDiscountsPercentage = "RecommendationOptionsSavingsOpportunityAfterDiscountsPercentage"
        case recommendationOptionsSavingsOpportunityPercentage = "RecommendationOptionsSavingsOpportunityPercentage"
        case tags = "Tags"
        case utilizationMetricsDurationAverage = "UtilizationMetricsDurationAverage"
        case utilizationMetricsDurationMaximum = "UtilizationMetricsDurationMaximum"
        case utilizationMetricsMemoryAverage = "UtilizationMetricsMemoryAverage"
        case utilizationMetricsMemoryMaximum = "UtilizationMetricsMemoryMaximum"
        public var description: String { return self.rawValue }
    }

    public enum ExportableLicenseField: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case accountId = "AccountId"
        case currentLicenseConfigurationInstanceType = "CurrentLicenseConfigurationInstanceType"
        case currentLicenseConfigurationLicenseEdition = "CurrentLicenseConfigurationLicenseEdition"
        case currentLicenseConfigurationLicenseModel = "CurrentLicenseConfigurationLicenseModel"
        case currentLicenseConfigurationLicenseName = "CurrentLicenseConfigurationLicenseName"
        case currentLicenseConfigurationLicenseVersion = "CurrentLicenseConfigurationLicenseVersion"
        case currentLicenseConfigurationMetricsSource = "CurrentLicenseConfigurationMetricsSource"
        case currentLicenseConfigurationNumberOfCores = "CurrentLicenseConfigurationNumberOfCores"
        case currentLicenseConfigurationOperatingSystem = "CurrentLicenseConfigurationOperatingSystem"
        case lastRefreshTimestamp = "LastRefreshTimestamp"
        case licenseFinding = "Finding"
        case licenseFindingReasonCodes = "FindingReasonCodes"
        case lookbackPeriodInDays = "LookbackPeriodInDays"
        case recommendationOptionsEstimatedMonthlySavingsCurrency = "RecommendationOptionsEstimatedMonthlySavingsCurrency"
        case recommendationOptionsEstimatedMonthlySavingsValue = "RecommendationOptionsEstimatedMonthlySavingsValue"
        case recommendationOptionsLicenseEdition = "RecommendationOptionsLicenseEdition"
        case recommendationOptionsLicenseModel = "RecommendationOptionsLicenseModel"
        case recommendationOptionsOperatingSystem = "RecommendationOptionsOperatingSystem"
        case recommendationOptionsSavingsOpportunityPercentage = "RecommendationOptionsSavingsOpportunityPercentage"
        case resourceArn = "ResourceArn"
        case tags = "Tags"
        public var description: String { return self.rawValue }
    }

    public enum ExportableRDSDBField: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case accountId = "AccountId"
        case clusterWriter = "ClusterWriter"
        case currentDbInstanceClass = "CurrentDBInstanceClass"
        case currentInstanceOnDemandHourlyPrice = "CurrentInstanceOnDemandHourlyPrice"
        case currentInstancePerformanceRisk = "CurrentInstancePerformanceRisk"
        case currentStorageConfigurationAllocatedStorage = "CurrentStorageConfigurationAllocatedStorage"
        case currentStorageConfigurationIops = "CurrentStorageConfigurationIOPS"
        case currentStorageConfigurationMaxAllocatedStorage = "CurrentStorageConfigurationMaxAllocatedStorage"
        case currentStorageConfigurationStorageThroughput = "CurrentStorageConfigurationStorageThroughput"
        case currentStorageConfigurationStorageType = "CurrentStorageConfigurationStorageType"
        case currentStorageEstimatedClusterInstanceOnDemandMonthlyCost = "CurrentStorageEstimatedClusterInstanceOnDemandMonthlyCost"
        case currentStorageEstimatedClusterStorageIoOnDemandMonthlyCost = "CurrentStorageEstimatedClusterStorageIOOnDemandMonthlyCost"
        case currentStorageEstimatedClusterStorageOnDemandMonthlyCost = "CurrentStorageEstimatedClusterStorageOnDemandMonthlyCost"
        case currentStorageEstimatedMonthlyVolumeIopsCostVariation = "CurrentStorageEstimatedMonthlyVolumeIOPsCostVariation"
        case currentStorageOnDemandMonthlyPrice = "CurrentStorageOnDemandMonthlyPrice"
        case dbClusterIdentifier = "DBClusterIdentifier"
        case effectiveRecommendationPreferencesCpuVendorArchitectures = "EffectiveRecommendationPreferencesCpuVendorArchitectures"
        case effectiveRecommendationPreferencesEnhancedInfrastructureMetrics = "EffectiveRecommendationPreferencesEnhancedInfrastructureMetrics"
        case effectiveRecommendationPreferencesLookbackPeriod = "EffectiveRecommendationPreferencesLookBackPeriod"
        case effectiveRecommendationPreferencesSavingsEstimationMode = "EffectiveRecommendationPreferencesSavingsEstimationMode"
        case engine = "Engine"
        case engineVersion = "EngineVersion"
        case idle = "Idle"
        case instanceFinding = "InstanceFinding"
        case instanceFindingReasonCodes = "InstanceFindingReasonCodes"
        case instanceRecommendationOptionsDbInstanceClass = "InstanceRecommendationOptionsDBInstanceClass"
        case instanceRecommendationOptionsEstimatedMonthlySavingsCurrency = "InstanceRecommendationOptionsEstimatedMonthlySavingsCurrency"
        case instanceRecommendationOptionsEstimatedMonthlySavingsCurrencyAfterDiscounts = "InstanceRecommendationOptionsEstimatedMonthlySavingsCurrencyAfterDiscounts"
        case instanceRecommendationOptionsEstimatedMonthlySavingsValue = "InstanceRecommendationOptionsEstimatedMonthlySavingsValue"
        case instanceRecommendationOptionsEstimatedMonthlySavingsValueAfterDiscounts = "InstanceRecommendationOptionsEstimatedMonthlySavingsValueAfterDiscounts"
        case instanceRecommendationOptionsInstanceOnDemandHourlyPrice = "InstanceRecommendationOptionsInstanceOnDemandHourlyPrice"
        case instanceRecommendationOptionsPerformanceRisk = "InstanceRecommendationOptionsPerformanceRisk"
        case instanceRecommendationOptionsProjectedUtilizationMetricsCpuMaximum = "InstanceRecommendationOptionsProjectedUtilizationMetricsCpuMaximum"
        case instanceRecommendationOptionsRank = "InstanceRecommendationOptionsRank"
        case instanceRecommendationOptionsSavingsOpportunityAfterDiscountsPercentage = "InstanceRecommendationOptionsSavingsOpportunityAfterDiscountsPercentage"
        case instanceRecommendationOptionsSavingsOpportunityPercentage = "InstanceRecommendationOptionsSavingsOpportunityPercentage"
        case lastRefreshTimestamp = "LastRefreshTimestamp"
        case lookbackPeriodInDays = "LookbackPeriodInDays"
        case multiAzDbInstance = "MultiAZDBInstance"
        case promotionTier = "PromotionTier"
        case resourceArn = "ResourceArn"
        case storageFinding = "StorageFinding"
        case storageFindingReasonCodes = "StorageFindingReasonCodes"
        case storageRecommendationOptionsAllocatedStorage = "StorageRecommendationOptionsAllocatedStorage"
        case storageRecommendationOptionsEstimatedClusterInstanceOnDemandMonthlyCost = "StorageRecommendationOptionsEstimatedClusterInstanceOnDemandMonthlyCost"
        case storageRecommendationOptionsEstimatedClusterStorageIoOnDemandMonthlyCost = "StorageRecommendationOptionsEstimatedClusterStorageIOOnDemandMonthlyCost"
        case storageRecommendationOptionsEstimatedClusterStorageOnDemandMonthlyCost = "StorageRecommendationOptionsEstimatedClusterStorageOnDemandMonthlyCost"
        case storageRecommendationOptionsEstimatedMonthlySavingsCurrency = "StorageRecommendationOptionsEstimatedMonthlySavingsCurrency"
        case storageRecommendationOptionsEstimatedMonthlySavingsCurrencyAfterDiscounts = "StorageRecommendationOptionsEstimatedMonthlySavingsCurrencyAfterDiscounts"
        case storageRecommendationOptionsEstimatedMonthlySavingsValue = "StorageRecommendationOptionsEstimatedMonthlySavingsValue"
        case storageRecommendationOptionsEstimatedMonthlySavingsValueAfterDiscounts = "StorageRecommendationOptionsEstimatedMonthlySavingsValueAfterDiscounts"
        case storageRecommendationOptionsEstimatedMonthlyVolumeIopsCostVariation = "StorageRecommendationOptionsEstimatedMonthlyVolumeIOPsCostVariation"
        case storageRecommendationOptionsIops = "StorageRecommendationOptionsIOPS"
        case storageRecommendationOptionsMaxAllocatedStorage = "StorageRecommendationOptionsMaxAllocatedStorage"
        case storageRecommendationOptionsOnDemandMonthlyPrice = "StorageRecommendationOptionsOnDemandMonthlyPrice"
        case storageRecommendationOptionsRank = "StorageRecommendationOptionsRank"
        case storageRecommendationOptionsSavingsOpportunityAfterDiscountsPercentage = "StorageRecommendationOptionsSavingsOpportunityAfterDiscountsPercentage"
        case storageRecommendationOptionsSavingsOpportunityPercentage = "StorageRecommendationOptionsSavingsOpportunityPercentage"
        case storageRecommendationOptionsStorageThroughput = "StorageRecommendationOptionsStorageThroughput"
        case storageRecommendationOptionsStorageType = "StorageRecommendationOptionsStorageType"
        case tags = "Tags"
        case utilizationMetricsAuroraMemoryHealthStateMaximum = "UtilizationMetricsAuroraMemoryHealthStateMaximum"
        case utilizationMetricsAuroraMemoryNumDeclinedSqlTotalMaximum = "UtilizationMetricsAuroraMemoryNumDeclinedSqlTotalMaximum"
        case utilizationMetricsAuroraMemoryNumKillConnTotalMaximum = "UtilizationMetricsAuroraMemoryNumKillConnTotalMaximum"
        case utilizationMetricsAuroraMemoryNumKillQueryTotalMaximum = "UtilizationMetricsAuroraMemoryNumKillQueryTotalMaximum"
        case utilizationMetricsCpuMaximum = "UtilizationMetricsCpuMaximum"
        case utilizationMetricsDatabaseConnectionsMaximum = "UtilizationMetricsDatabaseConnectionsMaximum"
        case utilizationMetricsEbsVolumeReadIopsMaximum = "UtilizationMetricsEBSVolumeReadIOPSMaximum"
        case utilizationMetricsEbsVolumeReadThroughputMaximum = "UtilizationMetricsEBSVolumeReadThroughputMaximum"
        case utilizationMetricsEbsVolumeStorageSpaceUtilizationMaximum = "UtilizationMetricsEBSVolumeStorageSpaceUtilizationMaximum"
        case utilizationMetricsEbsVolumeWriteIopsMaximum = "UtilizationMetricsEBSVolumeWriteIOPSMaximum"
        case utilizationMetricsEbsVolumeWriteThroughputMaximum = "UtilizationMetricsEBSVolumeWriteThroughputMaximum"
        case utilizationMetricsMemoryMaximum = "UtilizationMetricsMemoryMaximum"
        case utilizationMetricsNetworkReceiveThroughputMaximum = "UtilizationMetricsNetworkReceiveThroughputMaximum"
        case utilizationMetricsNetworkTransmitThroughputMaximum = "UtilizationMetricsNetworkTransmitThroughputMaximum"
        case utilizationMetricsReadIopsEphemeralStorageMaximum = "UtilizationMetricsReadIOPSEphemeralStorageMaximum"
        case utilizationMetricsStorageNetworkReceiveThroughputMaximum = "UtilizationMetricsStorageNetworkReceiveThroughputMaximum"
        case utilizationMetricsStorageNetworkTransmitThroughputMaximum = "UtilizationMetricsStorageNetworkTransmitThroughputMaximum"
        case utilizationMetricsVolumeBytesUsedAverage = "UtilizationMetricsVolumeBytesUsedAverage"
        case utilizationMetricsVolumeReadIopsAverage = "UtilizationMetricsVolumeReadIOPsAverage"
        case utilizationMetricsVolumeWriteIopsAverage = "UtilizationMetricsVolumeWriteIOPsAverage"
        case utilizationMetricsWriteIopsEphemeralStorageMaximum = "UtilizationMetricsWriteIOPSEphemeralStorageMaximum"
        public var description: String { return self.rawValue }
    }

    public enum ExportableVolumeField: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case accountId = "AccountId"
        case currentConfigurationRootVolume = "CurrentConfigurationRootVolume"
        case currentConfigurationVolumeBaselineIops = "CurrentConfigurationVolumeBaselineIOPS"
        case currentConfigurationVolumeBaselineThroughput = "CurrentConfigurationVolumeBaselineThroughput"
        case currentConfigurationVolumeBurstIops = "CurrentConfigurationVolumeBurstIOPS"
        case currentConfigurationVolumeBurstThroughput = "CurrentConfigurationVolumeBurstThroughput"
        case currentConfigurationVolumeSize = "CurrentConfigurationVolumeSize"
        case currentConfigurationVolumeType = "CurrentConfigurationVolumeType"
        case currentMonthlyPrice = "CurrentMonthlyPrice"
        case currentPerformanceRisk = "CurrentPerformanceRisk"
        case effectiveRecommendationPreferencesSavingsEstimationMode = "EffectiveRecommendationPreferencesSavingsEstimationMode"
        case finding = "Finding"
        case lastRefreshTimestamp = "LastRefreshTimestamp"
        case lookbackPeriodInDays = "LookbackPeriodInDays"
        case recommendationOptionsConfigurationVolumeBaselineIops = "RecommendationOptionsConfigurationVolumeBaselineIOPS"
        case recommendationOptionsConfigurationVolumeBaselineThroughput = "RecommendationOptionsConfigurationVolumeBaselineThroughput"
        case recommendationOptionsConfigurationVolumeBurstIops = "RecommendationOptionsConfigurationVolumeBurstIOPS"
        case recommendationOptionsConfigurationVolumeBurstThroughput = "RecommendationOptionsConfigurationVolumeBurstThroughput"
        case recommendationOptionsConfigurationVolumeSize = "RecommendationOptionsConfigurationVolumeSize"
        case recommendationOptionsConfigurationVolumeType = "RecommendationOptionsConfigurationVolumeType"
        case recommendationOptionsEstimatedMonthlySavingsCurrency = "RecommendationOptionsEstimatedMonthlySavingsCurrency"
        case recommendationOptionsEstimatedMonthlySavingsCurrencyAfterDiscounts = "RecommendationOptionsEstimatedMonthlySavingsCurrencyAfterDiscounts"
        case recommendationOptionsEstimatedMonthlySavingsValue = "RecommendationOptionsEstimatedMonthlySavingsValue"
        case recommendationOptionsEstimatedMonthlySavingsValueAfterDiscounts = "RecommendationOptionsEstimatedMonthlySavingsValueAfterDiscounts"
        case recommendationOptionsMonthlyPrice = "RecommendationOptionsMonthlyPrice"
        case recommendationOptionsPerformanceRisk = "RecommendationOptionsPerformanceRisk"
        case recommendationOptionsSavingsOpportunityAfterDiscountsPercentage = "RecommendationOptionsSavingsOpportunityAfterDiscountsPercentage"
        case recommendationOptionsSavingsOpportunityPercentage = "RecommendationOptionsSavingsOpportunityPercentage"
        case rootVolume = "RootVolume"
        case tags = "Tags"
        case utilizationMetricsVolumeReadBytesPerSecondMaximum = "UtilizationMetricsVolumeReadBytesPerSecondMaximum"
        case utilizationMetricsVolumeReadOpsPerSecondMaximum = "UtilizationMetricsVolumeReadOpsPerSecondMaximum"
        case utilizationMetricsVolumeWriteBytesPerSecondMaximum = "UtilizationMetricsVolumeWriteBytesPerSecondMaximum"
        case utilizationMetricsVolumeWriteOpsPerSecondMaximum = "UtilizationMetricsVolumeWriteOpsPerSecondMaximum"
        case volumeArn = "VolumeArn"
        public var description: String { return self.rawValue }
    }

    public enum ExternalMetricStatusCode: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case datadogIntegrationError = "DATADOG_INTEGRATION_ERROR"
        case dynatraceIntegrationError = "DYNATRACE_INTEGRATION_ERROR"
        case instanaIntegrationError = "INSTANA_INTEGRATION_ERROR"
        case insufficientDatadogMetrics = "INSUFFICIENT_DATADOG_METRICS"
        case insufficientDynatraceMetrics = "INSUFFICIENT_DYNATRACE_METRICS"
        case insufficientInstanaMetrics = "INSUFFICIENT_INSTANA_METRICS"
        case insufficientNewrelicMetrics = "INSUFFICIENT_NEWRELIC_METRICS"
        case integrationSuccess = "INTEGRATION_SUCCESS"
        case newrelicIntegrationError = "NEWRELIC_INTEGRATION_ERROR"
        case noExternalMetricSet = "NO_EXTERNAL_METRIC_SET"
        public var description: String { return self.rawValue }
    }

    public enum ExternalMetricsSource: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case datadog = "Datadog"
        case dynatrace = "Dynatrace"
        case instana = "Instana"
        case newrelic = "NewRelic"
        public var description: String { return self.rawValue }
    }

    public enum FileFormat: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case csv = "Csv"
        public var description: String { return self.rawValue }
    }

    public enum FilterName: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case finding = "Finding"
        case findingReasonCodes = "FindingReasonCodes"
        case inferredWorkloadTypes = "InferredWorkloadTypes"
        case recommendationSourceType = "RecommendationSourceType"
        public var description: String { return self.rawValue }
    }

    public enum Finding: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case notOptimized = "NotOptimized"
        case optimized = "Optimized"
        case overProvisioned = "Overprovisioned"
        case underProvisioned = "Underprovisioned"
        public var description: String { return self.rawValue }
    }

    public enum FindingReasonCode: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case memoryOverProvisioned = "MemoryOverprovisioned"
        case memoryUnderProvisioned = "MemoryUnderprovisioned"
        public var description: String { return self.rawValue }
    }

    public enum Idle: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case `false` = "False"
        case `true` = "True"
        public var description: String { return self.rawValue }
    }

    public enum IdleFinding: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case idle = "Idle"
        case unattached = "Unattached"
        public var description: String { return self.rawValue }
    }

    public enum IdleMetricName: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case cpu = "CPU"
        case databaseConnections = "DatabaseConnections"
        case ebsVolumeReadIops = "EBSVolumeReadIOPS"
        case ebsVolumeWriteIops = "EBSVolumeWriteIOPS"
        case memory = "Memory"
        case networkInBytesPerSecond = "NetworkInBytesPerSecond"
        case networkOutBytesPerSecond = "NetworkOutBytesPerSecond"
        case volumeReadOpsPerSecond = "VolumeReadOpsPerSecond"
        case volumeWriteOpsPerSecond = "VolumeWriteOpsPerSecond"
        public var description: String { return self.rawValue }
    }

    public enum IdleRecommendationFilterName: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case finding = "Finding"
        case resourceType = "ResourceType"
        public var description: String { return self.rawValue }
    }

    public enum IdleRecommendationResourceType: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case autoScalingGroup = "AutoScalingGroup"
        case ebsVolume = "EBSVolume"
        case ec2Instance = "EC2Instance"
        case ecsService = "ECSService"
        case rdsDbInstance = "RDSDBInstance"
        public var description: String { return self.rawValue }
    }

    public enum InferredWorkloadType: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case amazonEmr = "AmazonEmr"
        case apacheCassandra = "ApacheCassandra"
        case apacheHadoop = "ApacheHadoop"
        case kafka = "Kafka"
        case memcached = "Memcached"
        case nginx = "Nginx"
        case postgreSql = "PostgreSql"
        case redis = "Redis"
        case sqlserver = "SQLServer"
        public var description: String { return self.rawValue }
    }

    public enum InferredWorkloadTypesPreference: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case active = "Active"
        case inactive = "Inactive"
        public var description: String { return self.rawValue }
    }

    public enum InstanceIdle: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case `false` = "False"
        case `true` = "True"
        public var description: String { return self.rawValue }
    }

    public enum InstanceRecommendationFindingReasonCode: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case cpuOverProvisioned = "CPUOverprovisioned"
        case cpuUnderProvisioned = "CPUUnderprovisioned"
        case diskIopsOverProvisioned = "DiskIOPSOverprovisioned"
        case diskIopsUnderProvisioned = "DiskIOPSUnderprovisioned"
        case diskThroughputOverProvisioned = "DiskThroughputOverprovisioned"
        case diskThroughputUnderProvisioned = "DiskThroughputUnderprovisioned"
        case ebsIopsOverProvisioned = "EBSIOPSOverprovisioned"
        case ebsIopsUnderProvisioned = "EBSIOPSUnderprovisioned"
        case ebsThroughputOverProvisioned = "EBSThroughputOverprovisioned"
        case ebsThroughputUnderProvisioned = "EBSThroughputUnderprovisioned"
        case gpuMemoryOverProvisioned = "GPUMemoryOverprovisioned"
        case gpuMemoryUnderProvisioned = "GPUMemoryUnderprovisioned"
        case gpuOverProvisioned = "GPUOverprovisioned"
        case gpuUnderProvisioned = "GPUUnderprovisioned"
        case memoryOverProvisioned = "MemoryOverprovisioned"
        case memoryUnderProvisioned = "MemoryUnderprovisioned"
        case networkBandwidthOverProvisioned = "NetworkBandwidthOverprovisioned"
        case networkBandwidthUnderProvisioned = "NetworkBandwidthUnderprovisioned"
        case networkPpsOverProvisioned = "NetworkPPSOverprovisioned"
        case networkPpsUnderProvisioned = "NetworkPPSUnderprovisioned"
        public var description: String { return self.rawValue }
    }

    public enum InstanceSavingsEstimationModeSource: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case costExplorerRightsizing = "CostExplorerRightsizing"
        case costOptimizationHub = "CostOptimizationHub"
        case publicPricing = "PublicPricing"
        public var description: String { return self.rawValue }
    }

    public enum InstanceState: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case pending = "pending"
        case running = "running"
        case shuttingDown = "shutting-down"
        case stopped = "stopped"
        case stopping = "stopping"
        case terminated = "terminated"
        public var description: String { return self.rawValue }
    }

    public enum JobFilterName: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case jobStatus = "JobStatus"
        case resourceType = "ResourceType"
        public var description: String { return self.rawValue }
    }

    public enum JobStatus: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case complete = "Complete"
        case failed = "Failed"
        case inProgress = "InProgress"
        case queued = "Queued"
        public var description: String { return self.rawValue }
    }

    public enum LambdaFunctionMemoryMetricName: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case duration = "Duration"
        public var description: String { return self.rawValue }
    }

    public enum LambdaFunctionMemoryMetricStatistic: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case expected = "Expected"
        case lowerBound = "LowerBound"
        case upperBound = "UpperBound"
        public var description: String { return self.rawValue }
    }

    public enum LambdaFunctionMetricName: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case duration = "Duration"
        case memory = "Memory"
        public var description: String { return self.rawValue }
    }

    public enum LambdaFunctionMetricStatistic: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case average = "Average"
        case maximum = "Maximum"
        public var description: String { return self.rawValue }
    }

    public enum LambdaFunctionRecommendationFilterName: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case finding = "Finding"
        case findingReasonCode = "FindingReasonCode"
        public var description: String { return self.rawValue }
    }

    public enum LambdaFunctionRecommendationFinding: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case notOptimized = "NotOptimized"
        case optimized = "Optimized"
        case unavailable = "Unavailable"
        public var description: String { return self.rawValue }
    }

    public enum LambdaFunctionRecommendationFindingReasonCode: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case inconclusive = "Inconclusive"
        case insufficientData = "InsufficientData"
        case memoryOverProvisioned = "MemoryOverprovisioned"
        case memoryUnderProvisioned = "MemoryUnderprovisioned"
        public var description: String { return self.rawValue }
    }

    public enum LambdaSavingsEstimationModeSource: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case costExplorerRightsizing = "CostExplorerRightsizing"
        case costOptimizationHub = "CostOptimizationHub"
        case publicPricing = "PublicPricing"
        public var description: String { return self.rawValue }
    }

    public enum LicenseEdition: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case enterprise = "Enterprise"
        case free = "Free"
        case noLicenseEditionFound = "NoLicenseEditionFound"
        case standard = "Standard"
        public var description: String { return self.rawValue }
    }

    public enum LicenseFinding: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case insufficientMetrics = "InsufficientMetrics"
        case notOptimized = "NotOptimized"
        case optimized = "Optimized"
        public var description: String { return self.rawValue }
    }

    public enum LicenseFindingReasonCode: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case cwAppInsightsDisabled = "InvalidCloudWatchApplicationInsightsSetup"
        case cwAppInsightsError = "CloudWatchApplicationInsightsError"
        case licenseOverProvisioned = "LicenseOverprovisioned"
        case optimized = "Optimized"
        public var description: String { return self.rawValue }
    }

    public enum LicenseModel: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case bringYourOwnLicense = "BringYourOwnLicense"
        case licenseIncluded = "LicenseIncluded"
        public var description: String { return self.rawValue }
    }

    public enum LicenseName: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case sqlserver = "SQLServer"
        public var description: String { return self.rawValue }
    }

    public enum LicenseRecommendationFilterName: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case licenseFinding = "Finding"
        case licenseFindingReasonCode = "FindingReasonCode"
        case licenseName = "LicenseName"
        public var description: String { return self.rawValue }
    }

    public enum LookBackPeriodPreference: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case days14 = "DAYS_14"
        case days32 = "DAYS_32"
        case days93 = "DAYS_93"
        public var description: String { return self.rawValue }
    }

    public enum MetricName: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case cpu = "Cpu"
        case diskReadBytesPerSecond = "DISK_READ_BYTES_PER_SECOND"
        case diskReadOpsPerSecond = "DISK_READ_OPS_PER_SECOND"
        case diskWriteBytesPerSecond = "DISK_WRITE_BYTES_PER_SECOND"
        case diskWriteOpsPerSecond = "DISK_WRITE_OPS_PER_SECOND"
        case ebsReadBytesPerSecond = "EBS_READ_BYTES_PER_SECOND"
        case ebsReadOpsPerSecond = "EBS_READ_OPS_PER_SECOND"
        case ebsWriteBytesPerSecond = "EBS_WRITE_BYTES_PER_SECOND"
        case ebsWriteOpsPerSecond = "EBS_WRITE_OPS_PER_SECOND"
        case gpuMemoryPercentage = "GPU_MEMORY_PERCENTAGE"
        case gpuPercentage = "GPU_PERCENTAGE"
        case memory = "Memory"
        case networkInBytesPerSecond = "NETWORK_IN_BYTES_PER_SECOND"
        case networkOutBytesPerSecond = "NETWORK_OUT_BYTES_PER_SECOND"
        case networkPacketsInPerSecond = "NETWORK_PACKETS_IN_PER_SECOND"
        case networkPacketsOutPerSecond = "NETWORK_PACKETS_OUT_PER_SECOND"
        public var description: String { return self.rawValue }
    }

    public enum MetricSourceProvider: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case cloudWatchAppInsights = "CloudWatchApplicationInsights"
        public var description: String { return self.rawValue }
    }

    public enum MetricStatistic: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case average = "Average"
        case maximum = "Maximum"
        public var description: String { return self.rawValue }
    }

    public enum MigrationEffort: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case high = "High"
        case low = "Low"
        case medium = "Medium"
        case veryLow = "VeryLow"
        public var description: String { return self.rawValue }
    }

    public enum Order: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case asc = "Asc"
        case desc = "Desc"
        public var description: String { return self.rawValue }
    }

    public enum PlatformDifference: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case architecture = "Architecture"
        case hypervisor = "Hypervisor"
        case instanceStoreAvailability = "InstanceStoreAvailability"
        case networkInterface = "NetworkInterface"
        case storageInterface = "StorageInterface"
        case virtualizationType = "VirtualizationType"
        public var description: String { return self.rawValue }
    }

    public enum PreferredResourceName: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case ec2InstanceTypes = "Ec2InstanceTypes"
        public var description: String { return self.rawValue }
    }

    public enum RDSCurrentInstancePerformanceRisk: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case high = "High"
        case low = "Low"
        case medium = "Medium"
        case veryLow = "VeryLow"
        public var description: String { return self.rawValue }
    }

    public enum RDSDBMetricName: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case auroraMemoryHealthState = "AuroraMemoryHealthState"
        case auroraMemoryNumDeclinedSql = "AuroraMemoryNumDeclinedSql"
        case auroraMemoryNumKillConnTotal = "AuroraMemoryNumKillConnTotal"
        case auroraMemoryNumKillQueryTotal = "AuroraMemoryNumKillQueryTotal"
        case cpu = "CPU"
        case databaseConnections = "DatabaseConnections"
        case ebsVolumeReadIops = "EBSVolumeReadIOPS"
        case ebsVolumeReadThroughput = "EBSVolumeReadThroughput"
        case ebsVolumeStorageSpaceUtilization = "EBSVolumeStorageSpaceUtilization"
        case ebsVolumeWriteIops = "EBSVolumeWriteIOPS"
        case ebsVolumeWriteThroughput = "EBSVolumeWriteThroughput"
        case memory = "Memory"
        case networkReceiveThroughput = "NetworkReceiveThroughput"
        case networkTransmitThroughput = "NetworkTransmitThroughput"
        case readIopsEphemeralStorage = "ReadIOPSEphemeralStorage"
        case storageNetworkReceiveThroughput = "StorageNetworkReceiveThroughput"
        case storageNetworkTransmitThroughput = "StorageNetworkTransmitThroughput"
        case volumeBytesUsed = "VolumeBytesUsed"
        case volumeReadIops = "VolumeReadIOPs"
        case volumeWriteIops = "VolumeWriteIOPs"
        case writeIopsEphemeralStorage = "WriteIOPSEphemeralStorage"
        public var description: String { return self.rawValue }
    }

    public enum RDSDBMetricStatistic: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case average = "Average"
        case maximum = "Maximum"
        case minimum = "Minimum"
        public var description: String { return self.rawValue }
    }

    public enum RDSDBRecommendationFilterName: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case idle = "Idle"
        case instanceFinding = "InstanceFinding"
        case instanceFindingReasonCode = "InstanceFindingReasonCode"
        case storageFinding = "StorageFinding"
        case storageFindingReasonCode = "StorageFindingReasonCode"
        public var description: String { return self.rawValue }
    }

    public enum RDSEstimatedMonthlyVolumeIOPsCostVariation: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case high = "High"
        case low = "Low"
        case medium = "Medium"
        case none = "None"
        public var description: String { return self.rawValue }
    }

    public enum RDSInstanceFinding: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case optimized = "Optimized"
        case overProvisioned = "Overprovisioned"
        case underProvisioned = "Underprovisioned"
        public var description: String { return self.rawValue }
    }

    public enum RDSInstanceFindingReasonCode: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case cpuOverProvisioned = "CPUOverprovisioned"
        case cpuUnderProvisioned = "CPUUnderprovisioned"
        case dbClusterWriterUnderProvisioned = "DBClusterWriterUnderprovisioned"
        case ebsIopsOverProvisioned = "EBSIOPSOverprovisioned"
        case ebsIopsUnderProvisioned = "EBSIOPSUnderprovisioned"
        case ebsThroughputOverProvisioned = "EBSThroughputOverprovisioned"
        case ebsThroughputUnderProvisioned = "EBSThroughputUnderprovisioned"
        case instanceStorageReadIopsUnderProvisioned = "InstanceStorageReadIOPSUnderprovisioned"
        case instanceStorageWriteIopsUnderProvisioned = "InstanceStorageWriteIOPSUnderprovisioned"
        case memoryUnderProvisioned = "MemoryUnderprovisioned"
        case networkBandwidthOverProvisioned = "NetworkBandwidthOverprovisioned"
        case networkBandwidthUnderProvisioned = "NetworkBandwidthUnderprovisioned"
        case newEngineVersionAvailable = "NewEngineVersionAvailable"
        case newGenerationDbInstanceClassAvailable = "NewGenerationDBInstanceClassAvailable"
        public var description: String { return self.rawValue }
    }

    public enum RDSSavingsEstimationModeSource: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case costExplorerRightsizing = "CostExplorerRightsizing"
        case costOptimizationHub = "CostOptimizationHub"
        case publicPricing = "PublicPricing"
        public var description: String { return self.rawValue }
    }

    public enum RDSStorageFinding: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case notOptimized = "NotOptimized"
        case optimized = "Optimized"
        case overProvisioned = "Overprovisioned"
        case underProvisioned = "Underprovisioned"
        public var description: String { return self.rawValue }
    }

    public enum RDSStorageFindingReasonCode: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case dbClusterStorageOptionAvailable = "DBClusterStorageOptionAvailable"
        case dbClusterStorageSavingsAvailable = "DBClusterStorageSavingsAvailable"
        case ebsVolumeAllocatedStorageUnderProvisioned = "EBSVolumeAllocatedStorageUnderprovisioned"
        case ebsVolumeIopsOverProvisioned = "EBSVolumeIOPSOverprovisioned"
        case ebsVolumeThroughputOverProvisioned = "EBSVolumeThroughputOverprovisioned"
        case ebsVolumeThroughputUnderProvisioned = "EBSVolumeThroughputUnderprovisioned"
        case newGenerationStorageTypeAvailable = "NewGenerationStorageTypeAvailable"
        public var description: String { return self.rawValue }
    }

    public enum RecommendationPreferenceName: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case enhancedInfrastructureMetrics = "EnhancedInfrastructureMetrics"
        case externalMetricsPreference = "ExternalMetricsPreference"
        case inferredWorkloadTypes = "InferredWorkloadTypes"
        case lookbackPeriodPreference = "LookBackPeriodPreference"
        case preferredResources = "PreferredResources"
        case utilizationPreferences = "UtilizationPreferences"
        public var description: String { return self.rawValue }
    }

    public enum RecommendationSourceType: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case auroraDbClusterStorage = "AuroraDBClusterStorage"
        case autoScalingGroup = "AutoScalingGroup"
        case ebsVolume = "EbsVolume"
        case ec2Instance = "Ec2Instance"
        case ecsService = "EcsService"
        case lambdaFunction = "LambdaFunction"
        case license = "License"
        case rdsDbInstance = "RdsDBInstance"
        case rdsDbInstanceStorage = "RdsDBInstanceStorage"
        public var description: String { return self.rawValue }
    }

    public enum ResourceType: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case auroraDbClusterStorage = "AuroraDBClusterStorage"
        case autoScalingGroup = "AutoScalingGroup"
        case ebsVolume = "EbsVolume"
        case ec2Instance = "Ec2Instance"
        case ecsService = "EcsService"
        case idle = "Idle"
        case lambdaFunction = "LambdaFunction"
        case license = "License"
        case notApplicable = "NotApplicable"
        case rdsDbInstance = "RdsDBInstance"
        public var description: String { return self.rawValue }
    }

    public enum SavingsEstimationMode: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case afterDiscounts = "AfterDiscounts"
        case beforeDiscounts = "BeforeDiscounts"
        public var description: String { return self.rawValue }
    }

    public enum ScopeName: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case accountId = "AccountId"
        case organization = "Organization"
        case resourceArn = "ResourceArn"
        public var description: String { return self.rawValue }
    }

    public enum Status: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case active = "Active"
        case failed = "Failed"
        case inactive = "Inactive"
        case pending = "Pending"
        public var description: String { return self.rawValue }
    }

    // MARK: Shapes

    public struct AccountEnrollmentStatus: AWSDecodableShape {
        /// The Amazon Web Services account ID.
        public let accountId: String?
        /// The Unix epoch timestamp, in seconds, of when the account enrollment status was last updated.
        public let lastUpdatedTimestamp: Date?
        /// The account enrollment status.
        public let status: Status?
        /// The reason for the account enrollment status. For example, an account might show a status of Pending because member accounts of an organization require more time to be enrolled in the service.
        public let statusReason: String?

        @inlinable
        public init(accountId: String? = nil, lastUpdatedTimestamp: Date? = nil, status: Status? = nil, statusReason: String? = nil) {
            self.accountId = accountId
            self.lastUpdatedTimestamp = lastUpdatedTimestamp
            self.status = status
            self.statusReason = statusReason
        }

        private enum CodingKeys: String, CodingKey {
            case accountId = "accountId"
            case lastUpdatedTimestamp = "lastUpdatedTimestamp"
            case status = "status"
            case statusReason = "statusReason"
        }
    }

    public struct AutoScalingGroupConfiguration: AWSDecodableShape {
        ///  Describes the allocation strategy that the EC2 Auto Scaling group uses. This field is only available for EC2 Auto Scaling groups with mixed instance types.
        public let allocationStrategy: AllocationStrategy?
        /// The desired capacity, or number of instances, for the EC2 Auto Scaling group.
        public let desiredCapacity: Int?
        ///  Describes the projected percentage reduction in instance hours after adopting the recommended configuration. This field is only available for EC2 Auto Scaling groups with scaling policies.
        public let estimatedInstanceHourReductionPercentage: Double?
        /// The instance type for the EC2 Auto Scaling group.
        public let instanceType: String?
        /// The maximum size, or maximum number of instances, for the EC2 Auto Scaling group.
        public let maxSize: Int?
        /// The minimum size, or minimum number of instances, for the EC2 Auto Scaling group.
        public let minSize: Int?
        ///  List the instance types within an EC2 Auto Scaling group that has mixed instance types.
        public let mixedInstanceTypes: [String]?
        ///  Describes whether the EC2 Auto Scaling group has a single instance type or a mixed instance type configuration.
        public let type: AsgType?

        @inlinable
        public init(allocationStrategy: AllocationStrategy? = nil, desiredCapacity: Int? = nil, estimatedInstanceHourReductionPercentage: Double? = nil, instanceType: String? = nil, maxSize: Int? = nil, minSize: Int? = nil, mixedInstanceTypes: [String]? = nil, type: AsgType? = nil) {
            self.allocationStrategy = allocationStrategy
            self.desiredCapacity = desiredCapacity
            self.estimatedInstanceHourReductionPercentage = estimatedInstanceHourReductionPercentage
            self.instanceType = instanceType
            self.maxSize = maxSize
            self.minSize = minSize
            self.mixedInstanceTypes = mixedInstanceTypes
            self.type = type
        }

        private enum CodingKeys: String, CodingKey {
            case allocationStrategy = "allocationStrategy"
            case desiredCapacity = "desiredCapacity"
            case estimatedInstanceHourReductionPercentage = "estimatedInstanceHourReductionPercentage"
            case instanceType = "instanceType"
            case maxSize = "maxSize"
            case minSize = "minSize"
            case mixedInstanceTypes = "mixedInstanceTypes"
            case type = "type"
        }
    }

    public struct AutoScalingGroupEstimatedMonthlySavings: AWSDecodableShape {
        ///  The currency of the estimated monthly savings.
        public let currency: Currency?
        ///  The value of the estimated monthly savings.
        public let value: Double?

        @inlinable
        public init(currency: Currency? = nil, value: Double? = nil) {
            self.currency = currency
            self.value = value
        }

        private enum CodingKeys: String, CodingKey {
            case currency = "currency"
            case value = "value"
        }
    }

    public struct AutoScalingGroupRecommendation: AWSDecodableShape {
        /// The Amazon Web Services account ID of the Auto Scaling group.
        public let accountId: String?
        /// The Amazon Resource Name (ARN) of the Auto Scaling group.
        public let autoScalingGroupArn: String?
        /// The name of the Auto Scaling group.
        public let autoScalingGroupName: String?
        /// An array of objects that describe the current configuration of the Auto Scaling group.
        public let currentConfiguration: AutoScalingGroupConfiguration?
        ///  Describes the GPU accelerator settings for the current instance type of the Auto Scaling group.
        public let currentInstanceGpuInfo: GpuInfo?
        /// The risk of the current Auto Scaling group not meeting the performance needs of its workloads. The higher the risk, the more likely the current Auto Scaling group configuration has insufficient capacity and cannot meet workload requirements.
        public let currentPerformanceRisk: CurrentPerformanceRisk?
        /// An object that describes the effective recommendation preferences for the Auto Scaling group.
        public let effectiveRecommendationPreferences: EffectiveRecommendationPreferences?
        /// The finding classification of the Auto Scaling group. Findings for Auto Scaling groups include:     NotOptimized —An Auto Scaling group is considered not optimized when Compute Optimizer identifies a recommendation that can provide better performance for your workload.     Optimized —An Auto Scaling group is considered optimized when Compute Optimizer determines that the group is correctly provisioned to run your workload based on the chosen instance type. For optimized resources, Compute Optimizer might recommend a new generation instance type.
        public let finding: Finding?
        /// The applications that might be running on the instances in the Auto Scaling group as inferred by Compute Optimizer. Compute Optimizer can infer if one of the following applications might be running on the instances:    AmazonEmr - Infers that Amazon EMR might be running on the instances.    ApacheCassandra - Infers that Apache Cassandra might be running on the instances.    ApacheHadoop - Infers that Apache Hadoop might be running on the instances.    Memcached - Infers that Memcached might be running on the instances.    NGINX - Infers that NGINX might be running on the instances.    PostgreSql - Infers that PostgreSQL might be running on the instances.    Redis - Infers that Redis might be running on the instances.    Kafka - Infers that Kafka might be running on the instance.    SQLServer - Infers that SQLServer might be running on the instance.
        public let inferredWorkloadTypes: [InferredWorkloadType]?
        /// The timestamp of when the Auto Scaling group recommendation was last generated.
        public let lastRefreshTimestamp: Date?
        /// The number of days for which utilization metrics were analyzed for the Auto Scaling group.
        public let lookBackPeriodInDays: Double?
        /// An array of objects that describe the recommendation options for the Auto Scaling group.
        public let recommendationOptions: [AutoScalingGroupRecommendationOption]?
        /// An array of objects that describe the utilization metrics of the Auto Scaling group.
        public let utilizationMetrics: [UtilizationMetric]?

        @inlinable
        public init(accountId: String? = nil, autoScalingGroupArn: String? = nil, autoScalingGroupName: String? = nil, currentConfiguration: AutoScalingGroupConfiguration? = nil, currentInstanceGpuInfo: GpuInfo? = nil, currentPerformanceRisk: CurrentPerformanceRisk? = nil, effectiveRecommendationPreferences: EffectiveRecommendationPreferences? = nil, finding: Finding? = nil, inferredWorkloadTypes: [InferredWorkloadType]? = nil, lastRefreshTimestamp: Date? = nil, lookBackPeriodInDays: Double? = nil, recommendationOptions: [AutoScalingGroupRecommendationOption]? = nil, utilizationMetrics: [UtilizationMetric]? = nil) {
            self.accountId = accountId
            self.autoScalingGroupArn = autoScalingGroupArn
            self.autoScalingGroupName = autoScalingGroupName
            self.currentConfiguration = currentConfiguration
            self.currentInstanceGpuInfo = currentInstanceGpuInfo
            self.currentPerformanceRisk = currentPerformanceRisk
            self.effectiveRecommendationPreferences = effectiveRecommendationPreferences
            self.finding = finding
            self.inferredWorkloadTypes = inferredWorkloadTypes
            self.lastRefreshTimestamp = lastRefreshTimestamp
            self.lookBackPeriodInDays = lookBackPeriodInDays
            self.recommendationOptions = recommendationOptions
            self.utilizationMetrics = utilizationMetrics
        }

        private enum CodingKeys: String, CodingKey {
            case accountId = "accountId"
            case autoScalingGroupArn = "autoScalingGroupArn"
            case autoScalingGroupName = "autoScalingGroupName"
            case currentConfiguration = "currentConfiguration"
            case currentInstanceGpuInfo = "currentInstanceGpuInfo"
            case currentPerformanceRisk = "currentPerformanceRisk"
            case effectiveRecommendationPreferences = "effectiveRecommendationPreferences"
            case finding = "finding"
            case inferredWorkloadTypes = "inferredWorkloadTypes"
            case lastRefreshTimestamp = "lastRefreshTimestamp"
            case lookBackPeriodInDays = "lookBackPeriodInDays"
            case recommendationOptions = "recommendationOptions"
            case utilizationMetrics = "utilizationMetrics"
        }
    }

    public struct AutoScalingGroupRecommendationOption: AWSDecodableShape {
        /// An array of objects that describe an Auto Scaling group configuration.
        public let configuration: AutoScalingGroupConfiguration?
        ///  Describes the GPU accelerator settings for the recommended instance type of the Auto Scaling group.
        public let instanceGpuInfo: GpuInfo?
        /// The level of effort required to migrate from the current instance type to the recommended instance type. For example, the migration effort is Low if Amazon EMR is the inferred workload type and an Amazon Web Services Graviton instance type is recommended. The migration effort is Medium if a workload type couldn't be inferred but an Amazon Web Services Graviton instance type is recommended. The migration effort is VeryLow if both the current and recommended instance types are of the same CPU architecture.
        public let migrationEffort: MigrationEffort?
        /// The performance risk of the Auto Scaling group configuration recommendation. Performance risk indicates the likelihood of the recommended instance type not meeting the resource needs of your workload. Compute Optimizer calculates an individual performance risk score for each specification of the recommended instance, including CPU, memory, EBS throughput, EBS IOPS, disk throughput, disk IOPS, network throughput, and network PPS. The performance risk of the recommended instance is calculated as the maximum performance risk score across the analyzed resource specifications. The value ranges from 0 - 4, with 0 meaning that the recommended resource is predicted to always provide enough hardware capability. The higher the performance risk is, the more likely you should validate whether the recommendation will meet the performance requirements of your workload before migrating your resource.
        public let performanceRisk: Double?
        /// An array of objects that describe the projected utilization metrics of the Auto Scaling group recommendation option.  The Cpu and Memory metrics are the only projected utilization metrics returned. Additionally, the Memory metric is returned only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling Memory Utilization with the CloudWatch Agent.
        public let projectedUtilizationMetrics: [UtilizationMetric]?
        /// The rank of the Auto Scaling group recommendation option. The top recommendation option is ranked as 1.
        public let rank: Int?
        /// An object that describes the savings opportunity for the Auto Scaling group recommendation option. Savings opportunity includes the estimated monthly savings amount and percentage.
        public let savingsOpportunity: SavingsOpportunity?
        ///  An object that describes the savings opportunity for the Auto Scaling group recommendation option that includes Savings Plans and Reserved Instances discounts.  Savings opportunity includes the estimated monthly savings and percentage.
        public let savingsOpportunityAfterDiscounts: AutoScalingGroupSavingsOpportunityAfterDiscounts?

        @inlinable
        public init(configuration: AutoScalingGroupConfiguration? = nil, instanceGpuInfo: GpuInfo? = nil, migrationEffort: MigrationEffort? = nil, performanceRisk: Double? = nil, projectedUtilizationMetrics: [UtilizationMetric]? = nil, rank: Int? = nil, savingsOpportunity: SavingsOpportunity? = nil, savingsOpportunityAfterDiscounts: AutoScalingGroupSavingsOpportunityAfterDiscounts? = nil) {
            self.configuration = configuration
            self.instanceGpuInfo = instanceGpuInfo
            self.migrationEffort = migrationEffort
            self.performanceRisk = performanceRisk
            self.projectedUtilizationMetrics = projectedUtilizationMetrics
            self.rank = rank
            self.savingsOpportunity = savingsOpportunity
            self.savingsOpportunityAfterDiscounts = savingsOpportunityAfterDiscounts
        }

        private enum CodingKeys: String, CodingKey {
            case configuration = "configuration"
            case instanceGpuInfo = "instanceGpuInfo"
            case migrationEffort = "migrationEffort"
            case performanceRisk = "performanceRisk"
            case projectedUtilizationMetrics = "projectedUtilizationMetrics"
            case rank = "rank"
            case savingsOpportunity = "savingsOpportunity"
            case savingsOpportunityAfterDiscounts = "savingsOpportunityAfterDiscounts"
        }
    }

    public struct AutoScalingGroupSavingsOpportunityAfterDiscounts: AWSDecodableShape {
        ///  An object that describes the estimated monthly savings possible by adopting Compute Optimizer’s Auto Scaling group recommendations. This is based on the  Savings Plans and Reserved Instances pricing discounts.
        public let estimatedMonthlySavings: AutoScalingGroupEstimatedMonthlySavings?
        ///  The estimated monthly savings possible as a percentage of monthly cost after applying the Savings Plans and Reserved Instances discounts. This saving can be  achieved by adopting Compute Optimizer’s Auto Scaling group recommendations.
        public let savingsOpportunityPercentage: Double?

        @inlinable
        public init(estimatedMonthlySavings: AutoScalingGroupEstimatedMonthlySavings? = nil, savingsOpportunityPercentage: Double? = nil) {
            self.estimatedMonthlySavings = estimatedMonthlySavings
            self.savingsOpportunityPercentage = savingsOpportunityPercentage
        }

        private enum CodingKeys: String, CodingKey {
            case estimatedMonthlySavings = "estimatedMonthlySavings"
            case savingsOpportunityPercentage = "savingsOpportunityPercentage"
        }
    }

    public struct ContainerConfiguration: AWSDecodableShape {
        ///  The name of the container.
        public let containerName: String?
        ///  The number of CPU units reserved for the container.
        public let cpu: Int?
        ///  The memory size configurations for the container.
        public let memorySizeConfiguration: MemorySizeConfiguration?

        @inlinable
        public init(containerName: String? = nil, cpu: Int? = nil, memorySizeConfiguration: MemorySizeConfiguration? = nil) {
            self.containerName = containerName
            self.cpu = cpu
            self.memorySizeConfiguration = memorySizeConfiguration
        }

        private enum CodingKeys: String, CodingKey {
            case containerName = "containerName"
            case cpu = "cpu"
            case memorySizeConfiguration = "memorySizeConfiguration"
        }
    }

    public struct ContainerRecommendation: AWSDecodableShape {
        ///  The name of the container.
        public let containerName: String?
        ///  The recommended number of CPU units reserved for the container.
        public let cpu: Int?
        ///  The recommended memory size configurations for the container.
        public let memorySizeConfiguration: MemorySizeConfiguration?

        @inlinable
        public init(containerName: String? = nil, cpu: Int? = nil, memorySizeConfiguration: MemorySizeConfiguration? = nil) {
            self.containerName = containerName
            self.cpu = cpu
            self.memorySizeConfiguration = memorySizeConfiguration
        }

        private enum CodingKeys: String, CodingKey {
            case containerName = "containerName"
            case cpu = "cpu"
            case memorySizeConfiguration = "memorySizeConfiguration"
        }
    }

    public struct CurrentPerformanceRiskRatings: AWSDecodableShape {
        /// A count of the applicable resource types with a high performance risk rating.
        public let high: Int64?
        /// A count of the applicable resource types with a low performance risk rating.
        public let low: Int64?
        /// A count of the applicable resource types with a medium performance risk rating.
        public let medium: Int64?
        /// A count of the applicable resource types with a very low performance risk rating.
        public let veryLow: Int64?

        @inlinable
        public init(high: Int64? = nil, low: Int64? = nil, medium: Int64? = nil, veryLow: Int64? = nil) {
            self.high = high
            self.low = low
            self.medium = medium
            self.veryLow = veryLow
        }

        private enum CodingKeys: String, CodingKey {
            case high = "high"
            case low = "low"
            case medium = "medium"
            case veryLow = "veryLow"
        }
    }

    public struct CustomizableMetricParameters: AWSEncodableShape & AWSDecodableShape {
        ///  The headroom value in percentage used for the specified metric parameter.  The following lists the valid values for CPU and memory utilization.   CPU utilization: PERCENT_30 | PERCENT_20 | PERCENT_0    Memory utilization: PERCENT_30 | PERCENT_20 | PERCENT_10
        public let headroom: CustomizableMetricHeadroom?
        ///  The threshold value used for the specified metric parameter.   You can only specify the threshold value for CPU utilization.
        public let threshold: CustomizableMetricThreshold?

        @inlinable
        public init(headroom: CustomizableMetricHeadroom? = nil, threshold: CustomizableMetricThreshold? = nil) {
            self.headroom = headroom
            self.threshold = threshold
        }

        private enum CodingKeys: String, CodingKey {
            case headroom = "headroom"
            case threshold = "threshold"
        }
    }

    public struct DBStorageConfiguration: AWSDecodableShape {
        ///  The size of the DB storage in gigabytes (GB).
        public let allocatedStorage: Int?
        ///  The provisioned IOPs of the DB storage.
        public let iops: Int?
        ///  The maximum limit in gibibytes (GiB) to which Amazon RDS can automatically scale the storage of the DB instance.
        public let maxAllocatedStorage: Int?
        ///  The storage throughput of the DB storage.
        public let storageThroughput: Int?
        ///  The type of DB storage.
        public let storageType: String?

        @inlinable
        public init(allocatedStorage: Int? = nil, iops: Int? = nil, maxAllocatedStorage: Int? = nil, storageThroughput: Int? = nil, storageType: String? = nil) {
            self.allocatedStorage = allocatedStorage
            self.iops = iops
            self.maxAllocatedStorage = maxAllocatedStorage
            self.storageThroughput = storageThroughput
            self.storageType = storageType
        }

        private enum CodingKeys: String, CodingKey {
            case allocatedStorage = "allocatedStorage"
            case iops = "iops"
            case maxAllocatedStorage = "maxAllocatedStorage"
            case storageThroughput = "storageThroughput"
            case storageType = "storageType"
        }
    }

    public struct DeleteRecommendationPreferencesRequest: AWSEncodableShape {
        /// The name of the recommendation preference to delete.
        public let recommendationPreferenceNames: [RecommendationPreferenceName]
        /// The target resource type of the recommendation preference to delete. The Ec2Instance option encompasses standalone instances and instances that are part of Auto Scaling groups. The AutoScalingGroup option encompasses only instances that are part of an Auto Scaling group.
        public let resourceType: ResourceType
        /// An object that describes the scope of the recommendation preference to delete. You can delete recommendation preferences that are created at the organization level (for management accounts of an organization only), account level, and resource level. For more information, see Activating enhanced infrastructure metrics in the Compute Optimizer User Guide.
        public let scope: Scope?

        @inlinable
        public init(recommendationPreferenceNames: [RecommendationPreferenceName], resourceType: ResourceType, scope: Scope? = nil) {
            self.recommendationPreferenceNames = recommendationPreferenceNames
            self.resourceType = resourceType
            self.scope = scope
        }

        private enum CodingKeys: String, CodingKey {
            case recommendationPreferenceNames = "recommendationPreferenceNames"
            case resourceType = "resourceType"
            case scope = "scope"
        }
    }

    public struct DeleteRecommendationPreferencesResponse: AWSDecodableShape {
        public init() {}
    }

    public struct DescribeRecommendationExportJobsRequest: AWSEncodableShape {
        /// An array of objects to specify a filter that returns a more specific list of export jobs.
        public let filters: [JobFilter]?
        /// The identification numbers of the export jobs to return. An export job ID is returned when you create an export using the ExportAutoScalingGroupRecommendations or ExportEC2InstanceRecommendations actions. All export jobs created in the last seven days are returned if this parameter is omitted.
        public let jobIds: [String]?
        /// The maximum number of export jobs to return with a single request. To retrieve the remaining results, make another request with the returned nextToken value.
        public let maxResults: Int?
        /// The token to advance to the next page of export jobs.
        public let nextToken: String?

        @inlinable
        public init(filters: [JobFilter]? = nil, jobIds: [String]? = nil, maxResults: Int? = nil, nextToken: String? = nil) {
            self.filters = filters
            self.jobIds = jobIds
            self.maxResults = maxResults
            self.nextToken = nextToken
        }

        public func validate(name: String) throws {
            try self.validate(self.maxResults, name: "maxResults", parent: name, max: 1000)
            try self.validate(self.maxResults, name: "maxResults", parent: name, min: 0)
        }

        private enum CodingKeys: String, CodingKey {
            case filters = "filters"
            case jobIds = "jobIds"
            case maxResults = "maxResults"
            case nextToken = "nextToken"
        }
    }

    public struct DescribeRecommendationExportJobsResponse: AWSDecodableShape {
        /// The token to use to advance to the next page of export jobs. This value is null when there are no more pages of export jobs to return.
        public let nextToken: String?
        /// An array of objects that describe recommendation export jobs.
        public let recommendationExportJobs: [RecommendationExportJob]?

        @inlinable
        public init(nextToken: String? = nil, recommendationExportJobs: [RecommendationExportJob]? = nil) {
            self.nextToken = nextToken
            self.recommendationExportJobs = recommendationExportJobs
        }

        private enum CodingKeys: String, CodingKey {
            case nextToken = "nextToken"
            case recommendationExportJobs = "recommendationExportJobs"
        }
    }

    public struct EBSEffectiveRecommendationPreferences: AWSDecodableShape {
        ///  Describes the savings estimation mode preference applied for calculating savings opportunity for Amazon EBS volumes.
        public let savingsEstimationMode: EBSSavingsEstimationMode?

        @inlinable
        public init(savingsEstimationMode: EBSSavingsEstimationMode? = nil) {
            self.savingsEstimationMode = savingsEstimationMode
        }

        private enum CodingKeys: String, CodingKey {
            case savingsEstimationMode = "savingsEstimationMode"
        }
    }

    public struct EBSEstimatedMonthlySavings: AWSDecodableShape {
        ///  The currency of the estimated monthly savings.
        public let currency: Currency?
        ///  The value of the estimated monthly savings.
        public let value: Double?

        @inlinable
        public init(currency: Currency? = nil, value: Double? = nil) {
            self.currency = currency
            self.value = value
        }

        private enum CodingKeys: String, CodingKey {
            case currency = "currency"
            case value = "value"
        }
    }

    public struct EBSFilter: AWSEncodableShape {
        /// The name of the filter. Specify Finding to return recommendations with a specific finding classification (for example, NotOptimized). You can filter your Amazon EBS volume recommendations by tag:key  and tag-key tags. A tag:key is a key and value combination of a tag assigned to your  Amazon EBS volume recommendations. Use the tag key in the filter name and the tag value  as the filter value. For example, to find all Amazon EBS volume recommendations that have  a tag with the key of Owner and the value of TeamA,  specify tag:Owner for the filter name and TeamA for the filter value. A tag-key is the key of a tag assigned to your Amazon EBS volume recommendations. Use  this filter to find all of your Amazon EBS volume recommendations that have a tag with a  specific key. This doesn’t consider the tag value. For example, you can find  your Amazon EBS volume recommendations with a tag key value of Owner or without any tag  keys assigned.
        public let name: EBSFilterName?
        /// The value of the filter. The valid values are Optimized, or NotOptimized.
        public let values: [String]?

        @inlinable
        public init(name: EBSFilterName? = nil, values: [String]? = nil) {
            self.name = name
            self.values = values
        }

        private enum CodingKeys: String, CodingKey {
            case name = "name"
            case values = "values"
        }
    }

    public struct EBSSavingsEstimationMode: AWSDecodableShape {
        ///  Describes the source for calculating the savings opportunity for Amazon EBS volumes.
        public let source: EBSSavingsEstimationModeSource?

        @inlinable
        public init(source: EBSSavingsEstimationModeSource? = nil) {
            self.source = source
        }

        private enum CodingKeys: String, CodingKey {
            case source = "source"
        }
    }

    public struct EBSSavingsOpportunityAfterDiscounts: AWSDecodableShape {
        ///  The estimated monthly savings possible as a percentage of monthly cost by adopting Compute Optimizer’s Amazon EBS volume  recommendations. This saving includes any applicable discounts.
        public let estimatedMonthlySavings: EBSEstimatedMonthlySavings?
        ///  The estimated monthly savings possible as a percentage of monthly cost after applying the specific discounts.  This saving can be achieved by adopting Compute Optimizer’s Amazon EBS volume recommendations.
        public let savingsOpportunityPercentage: Double?

        @inlinable
        public init(estimatedMonthlySavings: EBSEstimatedMonthlySavings? = nil, savingsOpportunityPercentage: Double? = nil) {
            self.estimatedMonthlySavings = estimatedMonthlySavings
            self.savingsOpportunityPercentage = savingsOpportunityPercentage
        }

        private enum CodingKeys: String, CodingKey {
            case estimatedMonthlySavings = "estimatedMonthlySavings"
            case savingsOpportunityPercentage = "savingsOpportunityPercentage"
        }
    }

    public struct EBSUtilizationMetric: AWSDecodableShape {
        /// The name of the utilization metric. The following utilization metrics are available:    VolumeReadOpsPerSecond - The completed read operations per second from the volume in a specified period of time. Unit: Count    VolumeWriteOpsPerSecond - The completed write operations per second to the volume in a specified period of time. Unit: Count    VolumeReadBytesPerSecond - The bytes read per second from the volume in a specified period of time. Unit: Bytes    VolumeWriteBytesPerSecond - The bytes written to the volume in a specified period of time. Unit: Bytes
        public let name: EBSMetricName?
        /// The statistic of the utilization metric. The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the Maximum statistic, which is the highest value observed during the specified period. The Compute Optimizer console displays graphs for some utilization metrics using the Average statistic, which is the value of Sum / SampleCount during the specified period. For more information, see Viewing resource recommendations in the Compute Optimizer User Guide. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the Amazon CloudWatch User Guide.
        public let statistic: MetricStatistic?
        /// The value of the utilization metric.
        public let value: Double?

        @inlinable
        public init(name: EBSMetricName? = nil, statistic: MetricStatistic? = nil, value: Double? = nil) {
            self.name = name
            self.statistic = statistic
            self.value = value
        }

        private enum CodingKeys: String, CodingKey {
            case name = "name"
            case statistic = "statistic"
            case value = "value"
        }
    }

    public struct ECSEffectiveRecommendationPreferences: AWSDecodableShape {
        ///  Describes the savings estimation mode preference applied for calculating savings opportunity for Amazon ECS services.
        public let savingsEstimationMode: ECSSavingsEstimationMode?

        @inlinable
        public init(savingsEstimationMode: ECSSavingsEstimationMode? = nil) {
            self.savingsEstimationMode = savingsEstimationMode
        }

        private enum CodingKeys: String, CodingKey {
            case savingsEstimationMode = "savingsEstimationMode"
        }
    }

    public struct ECSEstimatedMonthlySavings: AWSDecodableShape {
        ///  The currency of the estimated monthly savings.
        public let currency: Currency?
        ///  The value of the estimated monthly savings for Amazon ECS services.
        public let value: Double?

        @inlinable
        public init(currency: Currency? = nil, value: Double? = nil) {
            self.currency = currency
            self.value = value
        }

        private enum CodingKeys: String, CodingKey {
            case currency = "currency"
            case value = "value"
        }
    }

    public struct ECSSavingsEstimationMode: AWSDecodableShape {
        ///  Describes the source for calculating the savings opportunity for Amazon ECS services.
        public let source: ECSSavingsEstimationModeSource?

        @inlinable
        public init(source: ECSSavingsEstimationModeSource? = nil) {
            self.source = source
        }

        private enum CodingKeys: String, CodingKey {
            case source = "source"
        }
    }

    public struct ECSSavingsOpportunityAfterDiscounts: AWSDecodableShape {
        ///  The estimated monthly savings possible by adopting Compute Optimizer’s Amazon ECS service recommendations.  This includes any applicable Savings Plans discounts.
        public let estimatedMonthlySavings: ECSEstimatedMonthlySavings?
        ///  The estimated monthly savings possible as a percentage of monthly cost by adopting Compute Optimizer’s  Amazon ECS service recommendations. This includes any applicable Savings Plans discounts.
        public let savingsOpportunityPercentage: Double?

        @inlinable
        public init(estimatedMonthlySavings: ECSEstimatedMonthlySavings? = nil, savingsOpportunityPercentage: Double? = nil) {
            self.estimatedMonthlySavings = estimatedMonthlySavings
            self.savingsOpportunityPercentage = savingsOpportunityPercentage
        }

        private enum CodingKeys: String, CodingKey {
            case estimatedMonthlySavings = "estimatedMonthlySavings"
            case savingsOpportunityPercentage = "savingsOpportunityPercentage"
        }
    }

    public struct ECSServiceProjectedMetric: AWSDecodableShape {
        ///  The lower bound values for the projected metric.
        public let lowerBoundValues: [Double]?
        ///  The name of the projected metric.  The following metrics are available:    Cpu — The percentage of allocated compute units  that are currently in use on the service tasks.    Memory — The percentage of memory that's  currently in use on the service tasks.
        public let name: ECSServiceMetricName?
        ///  The timestamps of the projected metric.
        public let timestamps: [Date]?
        ///  The upper bound values for the projected metric.
        public let upperBoundValues: [Double]?

        @inlinable
        public init(lowerBoundValues: [Double]? = nil, name: ECSServiceMetricName? = nil, timestamps: [Date]? = nil, upperBoundValues: [Double]? = nil) {
            self.lowerBoundValues = lowerBoundValues
            self.name = name
            self.timestamps = timestamps
            self.upperBoundValues = upperBoundValues
        }

        private enum CodingKeys: String, CodingKey {
            case lowerBoundValues = "lowerBoundValues"
            case name = "name"
            case timestamps = "timestamps"
            case upperBoundValues = "upperBoundValues"
        }
    }

    public struct ECSServiceProjectedUtilizationMetric: AWSDecodableShape {
        ///  The lower bound values for the projected utilization metrics.
        public let lowerBoundValue: Double?
        ///  The name of the projected utilization metric.  The following utilization metrics are available:    Cpu — The percentage of allocated compute units  that are currently in use on the service tasks.    Memory — The percentage of memory that's  currently in use on the service tasks.
        public let name: ECSServiceMetricName?
        /// The statistic of the projected utilization metric. The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the Maximum statistic, which is the highest value observed during the specified period. The Compute Optimizer console displays graphs for some utilization metrics using the Average statistic, which is the value of Sum / SampleCount during the specified period. For more information, see Viewing resource recommendations in the Compute Optimizer User Guide. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the Amazon CloudWatch User Guide.
        public let statistic: ECSServiceMetricStatistic?
        ///  The upper bound values for the projected utilization metrics.
        public let upperBoundValue: Double?

        @inlinable
        public init(lowerBoundValue: Double? = nil, name: ECSServiceMetricName? = nil, statistic: ECSServiceMetricStatistic? = nil, upperBoundValue: Double? = nil) {
            self.lowerBoundValue = lowerBoundValue
            self.name = name
            self.statistic = statistic
            self.upperBoundValue = upperBoundValue
        }

        private enum CodingKeys: String, CodingKey {
            case lowerBoundValue = "lowerBoundValue"
            case name = "name"
            case statistic = "statistic"
            case upperBoundValue = "upperBoundValue"
        }
    }

    public struct ECSServiceRecommendation: AWSDecodableShape {
        ///  The Amazon Web Services account ID of the Amazon ECS service.
        public let accountId: String?
        ///  The risk of the current Amazon ECS service not meeting the performance needs of its workloads.  The higher the risk, the more likely the current service can't meet the performance  requirements of its workload.
        public let currentPerformanceRisk: CurrentPerformanceRisk?
        ///  The configuration of the current Amazon ECS service.
        public let currentServiceConfiguration: ServiceConfiguration?
        ///  Describes the effective recommendation preferences for Amazon ECS services.
        public let effectiveRecommendationPreferences: ECSEffectiveRecommendationPreferences?
        ///  The finding classification of an Amazon ECS service.  Findings for Amazon ECS services include:     Underprovisioned —  When Compute Optimizer detects that there’s not enough memory or CPU, an Amazon ECS  service is considered under-provisioned. An under-provisioned service might  result in poor application performance.     Overprovisioned —  When Compute Optimizer detects that there’s excessive memory or CPU, an Amazon ECS  service is considered over-provisioned. An over-provisioned service might  result in additional infrastructure costs.      Optimized —  When both the CPU and memory of your Amazon ECS service meet the performance requirements  of your workload, the service is considered optimized.
        public let finding: ECSServiceRecommendationFinding?
        ///  The reason for the finding classification of an Amazon ECS service.  Finding reason codes for Amazon ECS services include:     CPUUnderprovisioned —  The service CPU configuration can be sized up to enhance the performance of  your workload. This is identified by analyzing the CPUUtilization metric of the  current service during the look-back period.     CPUOverprovisioned —  The service CPU configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the CPUUtilization  metric of the current service during the look-back period.      MemoryUnderprovisioned —  The service memory configuration  can be sized up to enhance the performance of  your workload. This is identified by analyzing the MemoryUtilization metric of the  current service during the look-back period.     MemoryOverprovisioned —  The service memory configuration can be sized down while still meeting the  performance requirements of your workload. This is identified by analyzing the  MemoryUtilization metric of the current service during the look-back period.
        public let findingReasonCodes: [ECSServiceRecommendationFindingReasonCode]?
        ///  The timestamp of when the Amazon ECS service recommendation was last generated.
        public let lastRefreshTimestamp: Date?
        ///  The launch type the Amazon ECS service is using.    Compute Optimizer only supports the Fargate launch type.
        public let launchType: ECSServiceLaunchType?
        ///  The number of days the Amazon ECS service utilization metrics were analyzed.
        public let lookbackPeriodInDays: Double?
        ///  The Amazon Resource Name (ARN) of the current Amazon ECS service.   The following is the format of the ARN:   arn:aws:ecs:region:aws_account_id:service/cluster-name/service-name
        public let serviceArn: String?
        ///  An array of objects that describe the recommendation options for the Amazon ECS service.
        public let serviceRecommendationOptions: [ECSServiceRecommendationOption]?
        ///  A list of tags assigned to your Amazon ECS service recommendations.
        public let tags: [Tag]?
        ///  An array of objects that describe the utilization metrics of the Amazon ECS service.
        public let utilizationMetrics: [ECSServiceUtilizationMetric]?

        @inlinable
        public init(accountId: String? = nil, currentPerformanceRisk: CurrentPerformanceRisk? = nil, currentServiceConfiguration: ServiceConfiguration? = nil, effectiveRecommendationPreferences: ECSEffectiveRecommendationPreferences? = nil, finding: ECSServiceRecommendationFinding? = nil, findingReasonCodes: [ECSServiceRecommendationFindingReasonCode]? = nil, lastRefreshTimestamp: Date? = nil, launchType: ECSServiceLaunchType? = nil, lookbackPeriodInDays: Double? = nil, serviceArn: String? = nil, serviceRecommendationOptions: [ECSServiceRecommendationOption]? = nil, tags: [Tag]? = nil, utilizationMetrics: [ECSServiceUtilizationMetric]? = nil) {
            self.accountId = accountId
            self.currentPerformanceRisk = currentPerformanceRisk
            self.currentServiceConfiguration = currentServiceConfiguration
            self.effectiveRecommendationPreferences = effectiveRecommendationPreferences
            self.finding = finding
            self.findingReasonCodes = findingReasonCodes
            self.lastRefreshTimestamp = lastRefreshTimestamp
            self.launchType = launchType
            self.lookbackPeriodInDays = lookbackPeriodInDays
            self.serviceArn = serviceArn
            self.serviceRecommendationOptions = serviceRecommendationOptions
            self.tags = tags
            self.utilizationMetrics = utilizationMetrics
        }

        private enum CodingKeys: String, CodingKey {
            case accountId = "accountId"
            case currentPerformanceRisk = "currentPerformanceRisk"
            case currentServiceConfiguration = "currentServiceConfiguration"
            case effectiveRecommendationPreferences = "effectiveRecommendationPreferences"
            case finding = "finding"
            case findingReasonCodes = "findingReasonCodes"
            case lastRefreshTimestamp = "lastRefreshTimestamp"
            case launchType = "launchType"
            case lookbackPeriodInDays = "lookbackPeriodInDays"
            case serviceArn = "serviceArn"
            case serviceRecommendationOptions = "serviceRecommendationOptions"
            case tags = "tags"
            case utilizationMetrics = "utilizationMetrics"
        }
    }

    public struct ECSServiceRecommendationFilter: AWSEncodableShape {
        ///  The name of the filter.   Specify Finding to return recommendations with a specific finding classification.   Specify FindingReasonCode to return recommendations with a specific finding reason code.  You can filter your Amazon ECS service recommendations by tag:key  and tag-key tags. A tag:key is a key and value combination of a tag assigned to your  Amazon ECS service recommendations. Use the tag key in the filter name and the tag value  as the filter value. For example, to find all Amazon ECS service recommendations that have  a tag with the key of Owner and the value of TeamA,  specify tag:Owner for the filter name and TeamA for the filter value. A tag-key is the key of a tag assigned to your Amazon ECS service recommendations. Use  this filter to find all of your Amazon ECS service recommendations that have a tag with a  specific key. This doesn’t consider the tag value. For example, you can find  your Amazon ECS service recommendations with a tag key value of Owner or without any tag  keys assigned.
        public let name: ECSServiceRecommendationFilterName?
        ///  The value of the filter.  The valid values for this parameter are as follows:   If you specify the name parameter as Finding, specify Optimized, Underprovisioned, or Overprovisioned.   If you specify the name parameter as FindingReasonCode, specify CPUUnderprovisioned, CPUOverprovisioned,  MemoryUnderprovisioned, or MemoryOverprovisioned.
        public let values: [String]?

        @inlinable
        public init(name: ECSServiceRecommendationFilterName? = nil, values: [String]? = nil) {
            self.name = name
            self.values = values
        }

        private enum CodingKeys: String, CodingKey {
            case name = "name"
            case values = "values"
        }
    }

    public struct ECSServiceRecommendationOption: AWSDecodableShape {
        ///  The CPU and memory size recommendations for the containers within the task of your Amazon ECS service.
        public let containerRecommendations: [ContainerRecommendation]?
        ///  The CPU size of the Amazon ECS service recommendation option.
        public let cpu: Int?
        ///  The memory size of the Amazon ECS service recommendation option.
        public let memory: Int?
        ///  An array of objects that describe the projected utilization metrics of the Amazon ECS service recommendation option.
        public let projectedUtilizationMetrics: [ECSServiceProjectedUtilizationMetric]?
        public let savingsOpportunity: SavingsOpportunity?
        ///  Describes the savings opportunity for Amazon ECS service recommendations or for the recommendation option.  Savings opportunity represents the estimated monthly savings after applying Savings Plans discounts.  You can achieve this by implementing a given Compute Optimizer recommendation.
        public let savingsOpportunityAfterDiscounts: ECSSavingsOpportunityAfterDiscounts?

        @inlinable
        public init(containerRecommendations: [ContainerRecommendation]? = nil, cpu: Int? = nil, memory: Int? = nil, projectedUtilizationMetrics: [ECSServiceProjectedUtilizationMetric]? = nil, savingsOpportunity: SavingsOpportunity? = nil, savingsOpportunityAfterDiscounts: ECSSavingsOpportunityAfterDiscounts? = nil) {
            self.containerRecommendations = containerRecommendations
            self.cpu = cpu
            self.memory = memory
            self.projectedUtilizationMetrics = projectedUtilizationMetrics
            self.savingsOpportunity = savingsOpportunity
            self.savingsOpportunityAfterDiscounts = savingsOpportunityAfterDiscounts
        }

        private enum CodingKeys: String, CodingKey {
            case containerRecommendations = "containerRecommendations"
            case cpu = "cpu"
            case memory = "memory"
            case projectedUtilizationMetrics = "projectedUtilizationMetrics"
            case savingsOpportunity = "savingsOpportunity"
            case savingsOpportunityAfterDiscounts = "savingsOpportunityAfterDiscounts"
        }
    }

    public struct ECSServiceRecommendedOptionProjectedMetric: AWSDecodableShape {
        ///  An array of objects that describe the projected metric.
        public let projectedMetrics: [ECSServiceProjectedMetric]?
        ///  The recommended CPU size for the Amazon ECS service.
        public let recommendedCpuUnits: Int?
        ///  The recommended memory size for the Amazon ECS service.
        public let recommendedMemorySize: Int?

        @inlinable
        public init(projectedMetrics: [ECSServiceProjectedMetric]? = nil, recommendedCpuUnits: Int? = nil, recommendedMemorySize: Int? = nil) {
            self.projectedMetrics = projectedMetrics
            self.recommendedCpuUnits = recommendedCpuUnits
            self.recommendedMemorySize = recommendedMemorySize
        }

        private enum CodingKeys: String, CodingKey {
            case projectedMetrics = "projectedMetrics"
            case recommendedCpuUnits = "recommendedCpuUnits"
            case recommendedMemorySize = "recommendedMemorySize"
        }
    }

    public struct ECSServiceUtilizationMetric: AWSDecodableShape {
        ///  The name of the utilization metric.  The following utilization metrics are available:    Cpu — The amount of CPU capacity that's used in the service.    Memory — The amount of memory that's used in the service.
        public let name: ECSServiceMetricName?
        /// The statistic of the utilization metric. The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the Maximum statistic, which is the highest value observed during the specified period. The Compute Optimizer console displays graphs for some utilization metrics using the Average statistic, which is the value of Sum / SampleCount during the specified period. For more information, see Viewing resource recommendations in the Compute Optimizer User Guide. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the Amazon CloudWatch User Guide.
        public let statistic: ECSServiceMetricStatistic?
        ///  The value of the utilization metric.
        public let value: Double?

        @inlinable
        public init(name: ECSServiceMetricName? = nil, statistic: ECSServiceMetricStatistic? = nil, value: Double? = nil) {
            self.name = name
            self.statistic = statistic
            self.value = value
        }

        private enum CodingKeys: String, CodingKey {
            case name = "name"
            case statistic = "statistic"
            case value = "value"
        }
    }

    public struct EffectivePreferredResource: AWSDecodableShape {
        ///  The expanded version of your preferred resource's include list.
        public let effectiveIncludeList: [String]?
        ///  The list of preferred resources values that you want excluded from rightsizing recommendation candidates.
        public let excludeList: [String]?
        ///  The list of preferred resource values that you want considered as rightsizing recommendation candidates.
        public let includeList: [String]?
        ///  The name of the preferred resource list.
        public let name: PreferredResourceName?

        @inlinable
        public init(effectiveIncludeList: [String]? = nil, excludeList: [String]? = nil, includeList: [String]? = nil, name: PreferredResourceName? = nil) {
            self.effectiveIncludeList = effectiveIncludeList
            self.excludeList = excludeList
            self.includeList = includeList
            self.name = name
        }

        private enum CodingKeys: String, CodingKey {
            case effectiveIncludeList = "effectiveIncludeList"
            case excludeList = "excludeList"
            case includeList = "includeList"
            case name = "name"
        }
    }

    public struct EffectiveRecommendationPreferences: AWSDecodableShape {
        /// Describes the CPU vendor and architecture for an instance or Auto Scaling group recommendations. For example, when you specify AWS_ARM64 with:   A GetEC2InstanceRecommendations or GetAutoScalingGroupRecommendations request, Compute Optimizer returns recommendations that consist of Graviton instance types only.   A GetEC2RecommendationProjectedMetrics request, Compute Optimizer returns projected utilization metrics for Graviton instance type recommendations only.   A ExportEC2InstanceRecommendations or ExportAutoScalingGroupRecommendations request, Compute Optimizer exports recommendations that consist of Graviton instance types only.
        public let cpuVendorArchitectures: [CpuVendorArchitecture]?
        /// Describes the activation status of the enhanced infrastructure metrics preference. A status of Active confirms that the preference is applied in the latest recommendation refresh, and a status of Inactive confirms that it's not yet applied to recommendations. For more information, see Enhanced infrastructure metrics in the Compute Optimizer User Guide.
        public let enhancedInfrastructureMetrics: EnhancedInfrastructureMetrics?
        ///  An object that describes the external metrics recommendation preference.  If the preference is applied in the latest recommendation refresh, an object with a valid source value appears in the response. If the preference isn't applied to the recommendations already, then this object doesn't appear in the response.
        public let externalMetricsPreference: ExternalMetricsPreference?
        /// Describes the activation status of the inferred workload types preference. A status of Active confirms that the preference is applied in the latest recommendation refresh. A status of Inactive confirms that it's not yet applied to recommendations.
        public let inferredWorkloadTypes: InferredWorkloadTypesPreference?
        ///  The number of days the utilization metrics of the Amazon Web Services resource are analyzed.
        public let lookBackPeriod: LookBackPeriodPreference?
        ///  The resource type values that are considered as candidates when generating rightsizing recommendations.
        public let preferredResources: [EffectivePreferredResource]?
        ///  Describes the savings estimation mode applied for calculating savings opportunity for a resource.
        public let savingsEstimationMode: InstanceSavingsEstimationMode?
        ///  The resource’s CPU and memory utilization preferences, such as threshold and headroom, that  are used to generate rightsizing recommendations.    This preference is only available for the Amazon EC2 instance resource type.
        public let utilizationPreferences: [UtilizationPreference]?

        @inlinable
        public init(cpuVendorArchitectures: [CpuVendorArchitecture]? = nil, enhancedInfrastructureMetrics: EnhancedInfrastructureMetrics? = nil, externalMetricsPreference: ExternalMetricsPreference? = nil, inferredWorkloadTypes: InferredWorkloadTypesPreference? = nil, lookBackPeriod: LookBackPeriodPreference? = nil, preferredResources: [EffectivePreferredResource]? = nil, savingsEstimationMode: InstanceSavingsEstimationMode? = nil, utilizationPreferences: [UtilizationPreference]? = nil) {
            self.cpuVendorArchitectures = cpuVendorArchitectures
            self.enhancedInfrastructureMetrics = enhancedInfrastructureMetrics
            self.externalMetricsPreference = externalMetricsPreference
            self.inferredWorkloadTypes = inferredWorkloadTypes
            self.lookBackPeriod = lookBackPeriod
            self.preferredResources = preferredResources
            self.savingsEstimationMode = savingsEstimationMode
            self.utilizationPreferences = utilizationPreferences
        }

        private enum CodingKeys: String, CodingKey {
            case cpuVendorArchitectures = "cpuVendorArchitectures"
            case enhancedInfrastructureMetrics = "enhancedInfrastructureMetrics"
            case externalMetricsPreference = "externalMetricsPreference"
            case inferredWorkloadTypes = "inferredWorkloadTypes"
            case lookBackPeriod = "lookBackPeriod"
            case preferredResources = "preferredResources"
            case savingsEstimationMode = "savingsEstimationMode"
            case utilizationPreferences = "utilizationPreferences"
        }
    }

    public struct EnrollmentFilter: AWSEncodableShape {
        /// The name of the filter. Specify Status to return accounts with a specific enrollment status (for example, Active).
        public let name: EnrollmentFilterName?
        /// The value of the filter. The valid values are Active, Inactive, Pending, and Failed.
        public let values: [String]?

        @inlinable
        public init(name: EnrollmentFilterName? = nil, values: [String]? = nil) {
            self.name = name
            self.values = values
        }

        private enum CodingKeys: String, CodingKey {
            case name = "name"
            case values = "values"
        }
    }

    public struct EstimatedMonthlySavings: AWSDecodableShape {
        /// The currency of the estimated monthly savings.
        public let currency: Currency?
        /// The value of the estimated monthly savings.
        public let value: Double?

        @inlinable
        public init(currency: Currency? = nil, value: Double? = nil) {
            self.currency = currency
            self.value = value
        }

        private enum CodingKeys: String, CodingKey {
            case currency = "currency"
            case value = "value"
        }
    }

    public struct ExportAutoScalingGroupRecommendationsRequest: AWSEncodableShape {
        /// The IDs of the Amazon Web Services accounts for which to export Auto Scaling group recommendations. If your account is the management account of an organization, use this parameter to specify the member account for which you want to export recommendations. This parameter cannot be specified together with the include member accounts parameter. The parameters are mutually exclusive. Recommendations for member accounts are not included in the export if this parameter, or the include member accounts parameter, is omitted. You can specify multiple account IDs per request.
        public let accountIds: [String]?
        /// The recommendations data to include in the export file. For more information about the fields that can be exported, see Exported files in the Compute Optimizer User Guide.
        public let fieldsToExport: [ExportableAutoScalingGroupField]?
        /// The format of the export file. The only export file format currently supported is Csv.
        public let fileFormat: FileFormat?
        /// An array of objects to specify a filter that exports a more specific set of Auto Scaling group recommendations.
        public let filters: [Filter]?
        /// Indicates whether to include recommendations for resources in all member accounts of the organization if your account is the management account of an organization. The member accounts must also be opted in to Compute Optimizer, and trusted access for Compute Optimizer must be enabled in the organization account. For more information, see Compute Optimizer and Amazon Web Services Organizations trusted access in the Compute Optimizer User Guide. Recommendations for member accounts of the organization are not included in the export file if this parameter is omitted. This parameter cannot be specified together with the account IDs parameter. The parameters are mutually exclusive. Recommendations for member accounts are not included in the export if this parameter, or the account IDs parameter, is omitted.
        public let includeMemberAccounts: Bool?
        /// An object to specify the preferences for the Auto Scaling group recommendations to export.
        public let recommendationPreferences: RecommendationPreferences?
        /// An object to specify the destination Amazon Simple Storage Service (Amazon S3) bucket name and key prefix for the export job. You must create the destination Amazon S3 bucket for your recommendations export before you create the export job. Compute Optimizer does not create the S3 bucket for you. After you create the S3 bucket, ensure that it has the required permissions policy to allow Compute Optimizer to write the export file to it. If you plan to specify an object prefix when you create the export job, you must include the object prefix in the policy that you add to the S3 bucket. For more information, see Amazon S3 Bucket Policy for Compute Optimizer in the Compute Optimizer User Guide.
        public let s3DestinationConfig: S3DestinationConfig

        @inlinable
        public init(accountIds: [String]? = nil, fieldsToExport: [ExportableAutoScalingGroupField]? = nil, fileFormat: FileFormat? = nil, filters: [Filter]? = nil, includeMemberAccounts: Bool? = nil, recommendationPreferences: RecommendationPreferences? = nil, s3DestinationConfig: S3DestinationConfig) {
            self.accountIds = accountIds
            self.fieldsToExport = fieldsToExport
            self.fileFormat = fileFormat
            self.filters = filters
            self.includeMemberAccounts = includeMemberAccounts
            self.recommendationPreferences = recommendationPreferences
            self.s3DestinationConfig = s3DestinationConfig
        }

        private enum CodingKeys: String, CodingKey {
            case accountIds = "accountIds"
            case fieldsToExport = "fieldsToExport"
            case fileFormat = "fileFormat"
            case filters = "filters"
            case includeMemberAccounts = "includeMemberAccounts"
            case recommendationPreferences = "recommendationPreferences"
            case s3DestinationConfig = "s3DestinationConfig"
        }
    }

    public struct ExportAutoScalingGroupRecommendationsResponse: AWSDecodableShape {
        /// The identification number of the export job. Use the DescribeRecommendationExportJobs action, and specify the job ID to view the status of an export job.
        public let jobId: String?
        /// An object that describes the destination Amazon S3 bucket of a recommendations export file.
        public let s3Destination: S3Destination?

        @inlinable
        public init(jobId: String? = nil, s3Destination: S3Destination? = nil) {
            self.jobId = jobId
            self.s3Destination = s3Destination
        }

        private enum CodingKeys: String, CodingKey {
            case jobId = "jobId"
            case s3Destination = "s3Destination"
        }
    }

    public struct ExportDestination: AWSDecodableShape {
        /// An object that describes the destination Amazon Simple Storage Service (Amazon S3) bucket name and object keys of a recommendations export file, and its associated metadata file.
        public let s3: S3Destination?

        @inlinable
        public init(s3: S3Destination? = nil) {
            self.s3 = s3
        }

        private enum CodingKeys: String, CodingKey {
            case s3 = "s3"
        }
    }

    public struct ExportEBSVolumeRecommendationsRequest: AWSEncodableShape {
        /// The IDs of the Amazon Web Services accounts for which to export Amazon EBS volume recommendations. If your account is the management account of an organization, use this parameter to specify the member account for which you want to export recommendations. This parameter cannot be specified together with the include member accounts parameter. The parameters are mutually exclusive. Recommendations for member accounts are not included in the export if this parameter, or the include member accounts parameter, is omitted. You can specify multiple account IDs per request.
        public let accountIds: [String]?
        /// The recommendations data to include in the export file. For more information about the fields that can be exported, see Exported files in the Compute Optimizer User Guide.
        public let fieldsToExport: [ExportableVolumeField]?
        /// The format of the export file. The only export file format currently supported is Csv.
        public let fileFormat: FileFormat?
        /// An array of objects to specify a filter that exports a more specific set of Amazon EBS volume recommendations.
        public let filters: [EBSFilter]?
        /// Indicates whether to include recommendations for resources in all member accounts of the organization if your account is the management account of an organization. The member accounts must also be opted in to Compute Optimizer, and trusted access for Compute Optimizer must be enabled in the organization account. For more information, see Compute Optimizer and Amazon Web Services Organizations trusted access in the Compute Optimizer User Guide. Recommendations for member accounts of the organization are not included in the export file if this parameter is omitted. This parameter cannot be specified together with the account IDs parameter. The parameters are mutually exclusive. Recommendations for member accounts are not included in the export if this parameter, or the account IDs parameter, is omitted.
        public let includeMemberAccounts: Bool?
        public let s3DestinationConfig: S3DestinationConfig

        @inlinable
        public init(accountIds: [String]? = nil, fieldsToExport: [ExportableVolumeField]? = nil, fileFormat: FileFormat? = nil, filters: [EBSFilter]? = nil, includeMemberAccounts: Bool? = nil, s3DestinationConfig: S3DestinationConfig) {
            self.accountIds = accountIds
            self.fieldsToExport = fieldsToExport
            self.fileFormat = fileFormat
            self.filters = filters
            self.includeMemberAccounts = includeMemberAccounts
            self.s3DestinationConfig = s3DestinationConfig
        }

        private enum CodingKeys: String, CodingKey {
            case accountIds = "accountIds"
            case fieldsToExport = "fieldsToExport"
            case fileFormat = "fileFormat"
            case filters = "filters"
            case includeMemberAccounts = "includeMemberAccounts"
            case s3DestinationConfig = "s3DestinationConfig"
        }
    }

    public struct ExportEBSVolumeRecommendationsResponse: AWSDecodableShape {
        /// The identification number of the export job. Use the DescribeRecommendationExportJobs action, and specify the job ID to view the status of an export job.
        public let jobId: String?
        public let s3Destination: S3Destination?

        @inlinable
        public init(jobId: String? = nil, s3Destination: S3Destination? = nil) {
            self.jobId = jobId
            self.s3Destination = s3Destination
        }

        private enum CodingKeys: String, CodingKey {
            case jobId = "jobId"
            case s3Destination = "s3Destination"
        }
    }

    public struct ExportEC2InstanceRecommendationsRequest: AWSEncodableShape {
        /// The IDs of the Amazon Web Services accounts for which to export instance recommendations. If your account is the management account of an organization, use this parameter to specify the member account for which you want to export recommendations. This parameter cannot be specified together with the include member accounts parameter. The parameters are mutually exclusive. Recommendations for member accounts are not included in the export if this parameter, or the include member accounts parameter, is omitted. You can specify multiple account IDs per request.
        public let accountIds: [String]?
        /// The recommendations data to include in the export file. For more information about the fields that can be exported, see Exported files in the Compute Optimizer User Guide.
        public let fieldsToExport: [ExportableInstanceField]?
        /// The format of the export file. The only export file format currently supported is Csv.
        public let fileFormat: FileFormat?
        /// An array of objects to specify a filter that exports a more specific set of instance recommendations.
        public let filters: [Filter]?
        /// Indicates whether to include recommendations for resources in all member accounts of the organization if your account is the management account of an organization. The member accounts must also be opted in to Compute Optimizer, and trusted access for Compute Optimizer must be enabled in the organization account. For more information, see Compute Optimizer and Amazon Web Services Organizations trusted access in the Compute Optimizer User Guide. Recommendations for member accounts of the organization are not included in the export file if this parameter is omitted. Recommendations for member accounts are not included in the export if this parameter, or the account IDs parameter, is omitted.
        public let includeMemberAccounts: Bool?
        /// An object to specify the preferences for the Amazon EC2 instance recommendations to export.
        public let recommendationPreferences: RecommendationPreferences?
        /// An object to specify the destination Amazon Simple Storage Service (Amazon S3) bucket name and key prefix for the export job. You must create the destination Amazon S3 bucket for your recommendations export before you create the export job. Compute Optimizer does not create the S3 bucket for you. After you create the S3 bucket, ensure that it has the required permissions policy to allow Compute Optimizer to write the export file to it. If you plan to specify an object prefix when you create the export job, you must include the object prefix in the policy that you add to the S3 bucket. For more information, see Amazon S3 Bucket Policy for Compute Optimizer in the Compute Optimizer User Guide.
        public let s3DestinationConfig: S3DestinationConfig

        @inlinable
        public init(accountIds: [String]? = nil, fieldsToExport: [ExportableInstanceField]? = nil, fileFormat: FileFormat? = nil, filters: [Filter]? = nil, includeMemberAccounts: Bool? = nil, recommendationPreferences: RecommendationPreferences? = nil, s3DestinationConfig: S3DestinationConfig) {
            self.accountIds = accountIds
            self.fieldsToExport = fieldsToExport
            self.fileFormat = fileFormat
            self.filters = filters
            self.includeMemberAccounts = includeMemberAccounts
            self.recommendationPreferences = recommendationPreferences
            self.s3DestinationConfig = s3DestinationConfig
        }

        private enum CodingKeys: String, CodingKey {
            case accountIds = "accountIds"
            case fieldsToExport = "fieldsToExport"
            case fileFormat = "fileFormat"
            case filters = "filters"
            case includeMemberAccounts = "includeMemberAccounts"
            case recommendationPreferences = "recommendationPreferences"
            case s3DestinationConfig = "s3DestinationConfig"
        }
    }

    public struct ExportEC2InstanceRecommendationsResponse: AWSDecodableShape {
        /// The identification number of the export job. Use the DescribeRecommendationExportJobs action, and specify the job ID to view the status of an export job.
        public let jobId: String?
        /// An object that describes the destination Amazon S3 bucket of a recommendations export file.
        public let s3Destination: S3Destination?

        @inlinable
        public init(jobId: String? = nil, s3Destination: S3Destination? = nil) {
            self.jobId = jobId
            self.s3Destination = s3Destination
        }

        private enum CodingKeys: String, CodingKey {
            case jobId = "jobId"
            case s3Destination = "s3Destination"
        }
    }

    public struct ExportECSServiceRecommendationsRequest: AWSEncodableShape {
        ///  The Amazon Web Services account IDs for the export Amazon ECS service recommendations.  If your account is the management account or the delegated administrator  of an organization, use this parameter to specify the member account you want to  export recommendations to. This parameter can't be specified together with the include member accounts  parameter. The parameters are mutually exclusive. If this parameter or the include member accounts parameter is omitted, the recommendations for member accounts aren't included in the export. You can specify multiple account IDs per request.
        public let accountIds: [String]?
        /// The recommendations data to include in the export file. For more information about the fields that can be exported, see Exported files in the Compute Optimizer User Guide.
        public let fieldsToExport: [ExportableECSServiceField]?
        ///  The format of the export file.   The CSV file is the only export file format currently supported.
        public let fileFormat: FileFormat?
        ///  An array of objects to specify a filter that exports a more specific set  of Amazon ECS service recommendations.
        public let filters: [ECSServiceRecommendationFilter]?
        /// If your account is the management account or the delegated administrator of an organization, this parameter indicates whether to include recommendations for resources in all member accounts of the organization. The member accounts must also be opted in to Compute Optimizer, and trusted access for Compute Optimizer must be enabled in the organization account. For more information, see Compute Optimizer and Amazon Web Services Organizations trusted access in the Compute Optimizer User Guide. If this parameter is omitted, recommendations for member accounts of the  organization aren't included in the export file. If this parameter or the account ID parameter is omitted, recommendations for  member accounts aren't included in the export.
        public let includeMemberAccounts: Bool?
        public let s3DestinationConfig: S3DestinationConfig

        @inlinable
        public init(accountIds: [String]? = nil, fieldsToExport: [ExportableECSServiceField]? = nil, fileFormat: FileFormat? = nil, filters: [ECSServiceRecommendationFilter]? = nil, includeMemberAccounts: Bool? = nil, s3DestinationConfig: S3DestinationConfig) {
            self.accountIds = accountIds
            self.fieldsToExport = fieldsToExport
            self.fileFormat = fileFormat
            self.filters = filters
            self.includeMemberAccounts = includeMemberAccounts
            self.s3DestinationConfig = s3DestinationConfig
        }

        private enum CodingKeys: String, CodingKey {
            case accountIds = "accountIds"
            case fieldsToExport = "fieldsToExport"
            case fileFormat = "fileFormat"
            case filters = "filters"
            case includeMemberAccounts = "includeMemberAccounts"
            case s3DestinationConfig = "s3DestinationConfig"
        }
    }

    public struct ExportECSServiceRecommendationsResponse: AWSDecodableShape {
        ///  The identification number of the export job.  To view the status of an export job, use the  DescribeRecommendationExportJobs action and specify the job ID.
        public let jobId: String?
        public let s3Destination: S3Destination?

        @inlinable
        public init(jobId: String? = nil, s3Destination: S3Destination? = nil) {
            self.jobId = jobId
            self.s3Destination = s3Destination
        }

        private enum CodingKeys: String, CodingKey {
            case jobId = "jobId"
            case s3Destination = "s3Destination"
        }
    }

    public struct ExportIdleRecommendationsRequest: AWSEncodableShape {
        ///  The Amazon Web Services account IDs for the export idle resource recommendations.  If your account is the management account or the delegated administrator  of an organization, use this parameter to specify the member account you want to  export recommendations to. This parameter can't be specified together with the include member accounts  parameter. The parameters are mutually exclusive. If this parameter or the include member accounts parameter is omitted, the recommendations for member accounts aren't included in the export. You can specify multiple account IDs per request.
        public let accountIds: [String]?
        /// The recommendations data to include in the export file. For more information about the fields that can be exported, see Exported files in the Compute Optimizer User Guide.
        public let fieldsToExport: [ExportableIdleField]?
        /// The format of the export file. The CSV file is the only export file format currently supported.
        public let fileFormat: FileFormat?
        /// An array of objects to specify a filter that exports a more specific set of idle resource recommendations.
        public let filters: [IdleRecommendationFilter]?
        /// If your account is the management account or the delegated administrator of an organization, this parameter indicates whether to include recommendations for resources in all member accounts of the organization. The member accounts must also be opted in to Compute Optimizer, and trusted access for Compute Optimizer must be enabled in the organization account. For more information, see Compute Optimizer and Amazon Web Services Organizations trusted access in the Compute Optimizer User Guide. If this parameter is omitted, recommendations for member accounts of the  organization aren't included in the export file. If this parameter or the account ID parameter is omitted, recommendations for  member accounts aren't included in the export.
        public let includeMemberAccounts: Bool?
        public let s3DestinationConfig: S3DestinationConfig

        @inlinable
        public init(accountIds: [String]? = nil, fieldsToExport: [ExportableIdleField]? = nil, fileFormat: FileFormat? = nil, filters: [IdleRecommendationFilter]? = nil, includeMemberAccounts: Bool? = nil, s3DestinationConfig: S3DestinationConfig) {
            self.accountIds = accountIds
            self.fieldsToExport = fieldsToExport
            self.fileFormat = fileFormat
            self.filters = filters
            self.includeMemberAccounts = includeMemberAccounts
            self.s3DestinationConfig = s3DestinationConfig
        }

        private enum CodingKeys: String, CodingKey {
            case accountIds = "accountIds"
            case fieldsToExport = "fieldsToExport"
            case fileFormat = "fileFormat"
            case filters = "filters"
            case includeMemberAccounts = "includeMemberAccounts"
            case s3DestinationConfig = "s3DestinationConfig"
        }
    }

    public struct ExportIdleRecommendationsResponse: AWSDecodableShape {
        ///  The identification number of the export job.  To view the status of an export job, use the  DescribeRecommendationExportJobs action and specify the job ID.
        public let jobId: String?
        public let s3Destination: S3Destination?

        @inlinable
        public init(jobId: String? = nil, s3Destination: S3Destination? = nil) {
            self.jobId = jobId
            self.s3Destination = s3Destination
        }

        private enum CodingKeys: String, CodingKey {
            case jobId = "jobId"
            case s3Destination = "s3Destination"
        }
    }

    public struct ExportLambdaFunctionRecommendationsRequest: AWSEncodableShape {
        /// The IDs of the Amazon Web Services accounts for which to export Lambda function recommendations. If your account is the management account of an organization, use this parameter to specify the member account for which you want to export recommendations. This parameter cannot be specified together with the include member accounts parameter. The parameters are mutually exclusive. Recommendations for member accounts are not included in the export if this parameter, or the include member accounts parameter, is omitted. You can specify multiple account IDs per request.
        public let accountIds: [String]?
        /// The recommendations data to include in the export file. For more information about the fields that can be exported, see Exported files in the Compute Optimizer User Guide.
        public let fieldsToExport: [ExportableLambdaFunctionField]?
        /// The format of the export file. The only export file format currently supported is Csv.
        public let fileFormat: FileFormat?
        /// An array of objects to specify a filter that exports a more specific set of Lambda function recommendations.
        public let filters: [LambdaFunctionRecommendationFilter]?
        /// Indicates whether to include recommendations for resources in all member accounts of the organization if your account is the management account of an organization. The member accounts must also be opted in to Compute Optimizer, and trusted access for Compute Optimizer must be enabled in the organization account. For more information, see Compute Optimizer and Amazon Web Services Organizations trusted access in the Compute Optimizer User Guide. Recommendations for member accounts of the organization are not included in the export file if this parameter is omitted. This parameter cannot be specified together with the account IDs parameter. The parameters are mutually exclusive. Recommendations for member accounts are not included in the export if this parameter, or the account IDs parameter, is omitted.
        public let includeMemberAccounts: Bool?
        public let s3DestinationConfig: S3DestinationConfig

        @inlinable
        public init(accountIds: [String]? = nil, fieldsToExport: [ExportableLambdaFunctionField]? = nil, fileFormat: FileFormat? = nil, filters: [LambdaFunctionRecommendationFilter]? = nil, includeMemberAccounts: Bool? = nil, s3DestinationConfig: S3DestinationConfig) {
            self.accountIds = accountIds
            self.fieldsToExport = fieldsToExport
            self.fileFormat = fileFormat
            self.filters = filters
            self.includeMemberAccounts = includeMemberAccounts
            self.s3DestinationConfig = s3DestinationConfig
        }

        private enum CodingKeys: String, CodingKey {
            case accountIds = "accountIds"
            case fieldsToExport = "fieldsToExport"
            case fileFormat = "fileFormat"
            case filters = "filters"
            case includeMemberAccounts = "includeMemberAccounts"
            case s3DestinationConfig = "s3DestinationConfig"
        }
    }

    public struct ExportLambdaFunctionRecommendationsResponse: AWSDecodableShape {
        /// The identification number of the export job. Use the DescribeRecommendationExportJobs action, and specify the job ID to view the status of an export job.
        public let jobId: String?
        public let s3Destination: S3Destination?

        @inlinable
        public init(jobId: String? = nil, s3Destination: S3Destination? = nil) {
            self.jobId = jobId
            self.s3Destination = s3Destination
        }

        private enum CodingKeys: String, CodingKey {
            case jobId = "jobId"
            case s3Destination = "s3Destination"
        }
    }

    public struct ExportLicenseRecommendationsRequest: AWSEncodableShape {
        /// The IDs of the Amazon Web Services accounts for which to export license recommendations. If your account is the management account of an organization, use this parameter to specify the member account for which you want to export recommendations. This parameter can't be specified together with the include member accounts parameter. The parameters are mutually exclusive. If this parameter is omitted, recommendations  for member accounts aren't included in the export. You can specify multiple account IDs per request.
        public let accountIds: [String]?
        /// The recommendations data to include in the export file. For more information about the fields that can be exported, see Exported files in the Compute Optimizer User Guide.
        public let fieldsToExport: [ExportableLicenseField]?
        /// The format of the export file. A CSV file is the only export format currently supported.
        public let fileFormat: FileFormat?
        ///  An array of objects to specify a filter that exports a more specific set of license recommendations.
        public let filters: [LicenseRecommendationFilter]?
        /// Indicates whether to include recommendations for resources in all member accounts of the organization if your account is the management account of an organization. The member accounts must also be opted in to Compute Optimizer, and trusted access for Compute Optimizer must be enabled in the organization account. For more information, see Compute Optimizer and Amazon Web Services Organizations trusted access in the Compute Optimizer User Guide. If this parameter is omitted, recommendations for member accounts of the organization  aren't included in the export file . This parameter cannot be specified together with the account IDs parameter. The parameters are mutually exclusive.
        public let includeMemberAccounts: Bool?
        public let s3DestinationConfig: S3DestinationConfig

        @inlinable
        public init(accountIds: [String]? = nil, fieldsToExport: [ExportableLicenseField]? = nil, fileFormat: FileFormat? = nil, filters: [LicenseRecommendationFilter]? = nil, includeMemberAccounts: Bool? = nil, s3DestinationConfig: S3DestinationConfig) {
            self.accountIds = accountIds
            self.fieldsToExport = fieldsToExport
            self.fileFormat = fileFormat
            self.filters = filters
            self.includeMemberAccounts = includeMemberAccounts
            self.s3DestinationConfig = s3DestinationConfig
        }

        private enum CodingKeys: String, CodingKey {
            case accountIds = "accountIds"
            case fieldsToExport = "fieldsToExport"
            case fileFormat = "fileFormat"
            case filters = "filters"
            case includeMemberAccounts = "includeMemberAccounts"
            case s3DestinationConfig = "s3DestinationConfig"
        }
    }

    public struct ExportLicenseRecommendationsResponse: AWSDecodableShape {
        ///  The identification number of the export job.  To view the status of an export job, use the DescribeRecommendationExportJobs  action and specify the job ID.
        public let jobId: String?
        public let s3Destination: S3Destination?

        @inlinable
        public init(jobId: String? = nil, s3Destination: S3Destination? = nil) {
            self.jobId = jobId
            self.s3Destination = s3Destination
        }

        private enum CodingKeys: String, CodingKey {
            case jobId = "jobId"
            case s3Destination = "s3Destination"
        }
    }

    public struct ExportRDSDatabaseRecommendationsRequest: AWSEncodableShape {
        ///  The Amazon Web Services account IDs for the export Amazon Aurora and RDS database recommendations.  If your account is the management account or the delegated administrator  of an organization, use this parameter to specify the member account you want to  export recommendations to. This parameter can't be specified together with the include member accounts  parameter. The parameters are mutually exclusive. If this parameter or the include member accounts parameter is omitted, the recommendations for member accounts aren't included in the export. You can specify multiple account IDs per request.
        public let accountIds: [String]?
        /// The recommendations data to include in the export file. For more information about the fields that can be exported, see Exported files in the Compute Optimizer User Guide.
        public let fieldsToExport: [ExportableRDSDBField]?
        ///  The format of the export file.   The CSV file is the only export file format currently supported.
        public let fileFormat: FileFormat?
        ///  An array of objects to specify a filter that exports a more specific set of  Amazon Aurora and RDS recommendations.
        public let filters: [RDSDBRecommendationFilter]?
        /// If your account is the management account or the delegated administrator of an organization, this parameter indicates whether to include recommendations for resources in all member accounts of the organization. The member accounts must also be opted in to Compute Optimizer, and trusted access for Compute Optimizer must be enabled in the organization account. For more information, see Compute Optimizer and Amazon Web Services Organizations trusted access in the Compute Optimizer User Guide. If this parameter is omitted, recommendations for member accounts of the  organization aren't included in the export file. If this parameter or the account ID parameter is omitted, recommendations for  member accounts aren't included in the export.
        public let includeMemberAccounts: Bool?
        public let recommendationPreferences: RecommendationPreferences?
        public let s3DestinationConfig: S3DestinationConfig

        @inlinable
        public init(accountIds: [String]? = nil, fieldsToExport: [ExportableRDSDBField]? = nil, fileFormat: FileFormat? = nil, filters: [RDSDBRecommendationFilter]? = nil, includeMemberAccounts: Bool? = nil, recommendationPreferences: RecommendationPreferences? = nil, s3DestinationConfig: S3DestinationConfig) {
            self.accountIds = accountIds
            self.fieldsToExport = fieldsToExport
            self.fileFormat = fileFormat
            self.filters = filters
            self.includeMemberAccounts = includeMemberAccounts
            self.recommendationPreferences = recommendationPreferences
            self.s3DestinationConfig = s3DestinationConfig
        }

        private enum CodingKeys: String, CodingKey {
            case accountIds = "accountIds"
            case fieldsToExport = "fieldsToExport"
            case fileFormat = "fileFormat"
            case filters = "filters"
            case includeMemberAccounts = "includeMemberAccounts"
            case recommendationPreferences = "recommendationPreferences"
            case s3DestinationConfig = "s3DestinationConfig"
        }
    }

    public struct ExportRDSDatabaseRecommendationsResponse: AWSDecodableShape {
        ///  The identification number of the export job.  To view the status of an export job, use the  DescribeRecommendationExportJobs action and specify the job ID.
        public let jobId: String?
        public let s3Destination: S3Destination?

        @inlinable
        public init(jobId: String? = nil, s3Destination: S3Destination? = nil) {
            self.jobId = jobId
            self.s3Destination = s3Destination
        }

        private enum CodingKeys: String, CodingKey {
            case jobId = "jobId"
            case s3Destination = "s3Destination"
        }
    }

    public struct ExternalMetricStatus: AWSDecodableShape {
        ///  The status code for Compute Optimizer's integration with an external metrics provider.
        public let statusCode: ExternalMetricStatusCode?
        ///  The reason for Compute Optimizer's integration status with your external metric provider.
        public let statusReason: String?

        @inlinable
        public init(statusCode: ExternalMetricStatusCode? = nil, statusReason: String? = nil) {
            self.statusCode = statusCode
            self.statusReason = statusReason
        }

        private enum CodingKeys: String, CodingKey {
            case statusCode = "statusCode"
            case statusReason = "statusReason"
        }
    }

    public struct ExternalMetricsPreference: AWSEncodableShape & AWSDecodableShape {
        ///  Contains the source options for external metrics preferences.
        public let source: ExternalMetricsSource?

        @inlinable
        public init(source: ExternalMetricsSource? = nil) {
            self.source = source
        }

        private enum CodingKeys: String, CodingKey {
            case source = "source"
        }
    }

    public struct Filter: AWSEncodableShape {
        /// The name of the filter. Specify Finding to return recommendations with a specific finding classification. For example, Underprovisioned. Specify RecommendationSourceType to return recommendations of a specific resource type. For example, Ec2Instance. Specify FindingReasonCodes to return recommendations with a specific finding reason code. For example, CPUUnderprovisioned. Specify InferredWorkloadTypes to return recommendations of a specific inferred workload. For example, Redis. You can filter your EC2 instance recommendations by tag:key and tag-key tags. A tag:key is a key and value combination of a tag assigned to your  recommendations. Use the tag key in the filter name and the tag value  as the filter value. For example, to find all recommendations that have  a tag with the key of Owner and the value of TeamA,  specify tag:Owner for the filter name and TeamA for the filter value. A tag-key is the key of a tag assigned to your recommendations. Use  this filter to find all of your recommendations that have a tag with a  specific key. This doesn’t consider the tag value. For example, you can find  your recommendations with a tag key value of Owner or without any tag  keys assigned.
        public let name: FilterName?
        /// The value of the filter. The valid values for this parameter are as follows, depending on what you specify for the name parameter and the resource type that you wish to filter results for:   Specify Optimized or NotOptimized if you specify the name parameter as Finding and you want to filter results for Auto Scaling groups.   Specify Underprovisioned, Overprovisioned, or Optimized if you specify the name parameter as Finding and you want to filter results for EC2 instances.   Specify Ec2Instance or AutoScalingGroup if you specify the name parameter as RecommendationSourceType.   Specify one of the following options if you specify the name parameter as FindingReasonCodes:     CPUOverprovisioned — The instance’s CPU configuration can be sized down while still meeting the performance requirements of your workload.     CPUUnderprovisioned — The instance’s CPU configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better CPU performance.     MemoryOverprovisioned — The instance’s memory configuration can be sized down while still meeting the performance requirements of your workload.     MemoryUnderprovisioned — The instance’s memory configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better memory performance.     EBSThroughputOverprovisioned — The instance’s EBS throughput configuration can be sized down while still meeting the performance requirements of your workload.     EBSThroughputUnderprovisioned — The instance’s EBS throughput configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better EBS throughput performance.     EBSIOPSOverprovisioned — The instance’s EBS IOPS configuration can be sized down while still meeting the performance requirements of your workload.     EBSIOPSUnderprovisioned  — The instance’s EBS IOPS configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better EBS IOPS performance.     NetworkBandwidthOverprovisioned — The instance’s network bandwidth configuration can be sized down while still meeting the performance requirements of your workload.     NetworkBandwidthUnderprovisioned — The instance’s network bandwidth configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better network bandwidth performance. This finding reason happens when the NetworkIn or NetworkOut performance of an instance is impacted.     NetworkPPSOverprovisioned — The instance’s network PPS (packets per second) configuration can be sized down while still meeting the performance requirements of your workload.     NetworkPPSUnderprovisioned — The instance’s network PPS (packets per second) configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better network PPS performance.     DiskIOPSOverprovisioned  — The instance’s disk IOPS configuration can be sized down while still meeting the performance requirements of your workload.     DiskIOPSUnderprovisioned  — The instance’s disk IOPS configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better disk IOPS performance.     DiskThroughputOverprovisioned — The instance’s disk throughput configuration can be sized down while still meeting the performance requirements of your workload.     DiskThroughputUnderprovisioned — The instance’s disk throughput configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better disk throughput performance.
        public let values: [String]?

        @inlinable
        public init(name: FilterName? = nil, values: [String]? = nil) {
            self.name = name
            self.values = values
        }

        private enum CodingKeys: String, CodingKey {
            case name = "name"
            case values = "values"
        }
    }

    public struct GetAutoScalingGroupRecommendationsRequest: AWSEncodableShape {
        /// The ID of the Amazon Web Services account for which to return Auto Scaling group recommendations. If your account is the management account of an organization, use this parameter to specify the member account for which you want to return Auto Scaling group recommendations. Only one account ID can be specified per request.
        public let accountIds: [String]?
        /// The Amazon Resource Name (ARN) of the Auto Scaling groups for which to return recommendations.
        public let autoScalingGroupArns: [String]?
        /// An array of objects to specify a filter that returns a more specific list of Auto Scaling group recommendations.
        public let filters: [Filter]?
        /// The maximum number of Auto Scaling group recommendations to return with a single request. To retrieve the remaining results, make another request with the returned nextToken value.
        public let maxResults: Int?
        /// The token to advance to the next page of Auto Scaling group recommendations.
        public let nextToken: String?
        /// An object to specify the preferences for the Auto Scaling group recommendations to return in the response.
        public let recommendationPreferences: RecommendationPreferences?

        @inlinable
        public init(accountIds: [String]? = nil, autoScalingGroupArns: [String]? = nil, filters: [Filter]? = nil, maxResults: Int? = nil, nextToken: String? = nil, recommendationPreferences: RecommendationPreferences? = nil) {
            self.accountIds = accountIds
            self.autoScalingGroupArns = autoScalingGroupArns
            self.filters = filters
            self.maxResults = maxResults
            self.nextToken = nextToken
            self.recommendationPreferences = recommendationPreferences
        }

        public func validate(name: String) throws {
            try self.validate(self.maxResults, name: "maxResults", parent: name, max: 1000)
            try self.validate(self.maxResults, name: "maxResults", parent: name, min: 0)
        }

        private enum CodingKeys: String, CodingKey {
            case accountIds = "accountIds"
            case autoScalingGroupArns = "autoScalingGroupArns"
            case filters = "filters"
            case maxResults = "maxResults"
            case nextToken = "nextToken"
            case recommendationPreferences = "recommendationPreferences"
        }
    }

    public struct GetAutoScalingGroupRecommendationsResponse: AWSDecodableShape {
        /// An array of objects that describe Auto Scaling group recommendations.
        public let autoScalingGroupRecommendations: [AutoScalingGroupRecommendation]?
        /// An array of objects that describe errors of the request. For example, an error is returned if you request recommendations for an unsupported Auto Scaling group.
        public let errors: [GetRecommendationError]?
        /// The token to use to advance to the next page of Auto Scaling group recommendations. This value is null when there are no more pages of Auto Scaling group recommendations to return.
        public let nextToken: String?

        @inlinable
        public init(autoScalingGroupRecommendations: [AutoScalingGroupRecommendation]? = nil, errors: [GetRecommendationError]? = nil, nextToken: String? = nil) {
            self.autoScalingGroupRecommendations = autoScalingGroupRecommendations
            self.errors = errors
            self.nextToken = nextToken
        }

        private enum CodingKeys: String, CodingKey {
            case autoScalingGroupRecommendations = "autoScalingGroupRecommendations"
            case errors = "errors"
            case nextToken = "nextToken"
        }
    }

    public struct GetEBSVolumeRecommendationsRequest: AWSEncodableShape {
        /// The ID of the Amazon Web Services account for which to return volume recommendations. If your account is the management account of an organization, use this parameter to specify the member account for which you want to return volume recommendations. Only one account ID can be specified per request.
        public let accountIds: [String]?
        /// An array of objects to specify a filter that returns a more specific list of volume recommendations.
        public let filters: [EBSFilter]?
        /// The maximum number of volume recommendations to return with a single request. To retrieve the remaining results, make another request with the returned nextToken value.
        public let maxResults: Int?
        /// The token to advance to the next page of volume recommendations.
        public let nextToken: String?
        /// The Amazon Resource Name (ARN) of the volumes for which to return recommendations.
        public let volumeArns: [String]?

        @inlinable
        public init(accountIds: [String]? = nil, filters: [EBSFilter]? = nil, maxResults: Int? = nil, nextToken: String? = nil, volumeArns: [String]? = nil) {
            self.accountIds = accountIds
            self.filters = filters
            self.maxResults = maxResults
            self.nextToken = nextToken
            self.volumeArns = volumeArns
        }

        public func validate(name: String) throws {
            try self.validate(self.maxResults, name: "maxResults", parent: name, max: 1000)
            try self.validate(self.maxResults, name: "maxResults", parent: name, min: 0)
        }

        private enum CodingKeys: String, CodingKey {
            case accountIds = "accountIds"
            case filters = "filters"
            case maxResults = "maxResults"
            case nextToken = "nextToken"
            case volumeArns = "volumeArns"
        }
    }

    public struct GetEBSVolumeRecommendationsResponse: AWSDecodableShape {
        /// An array of objects that describe errors of the request. For example, an error is returned if you request recommendations for an unsupported volume.
        public let errors: [GetRecommendationError]?
        /// The token to use to advance to the next page of volume recommendations. This value is null when there are no more pages of volume recommendations to return.
        public let nextToken: String?
        /// An array of objects that describe volume recommendations.
        public let volumeRecommendations: [VolumeRecommendation]?

        @inlinable
        public init(errors: [GetRecommendationError]? = nil, nextToken: String? = nil, volumeRecommendations: [VolumeRecommendation]? = nil) {
            self.errors = errors
            self.nextToken = nextToken
            self.volumeRecommendations = volumeRecommendations
        }

        private enum CodingKeys: String, CodingKey {
            case errors = "errors"
            case nextToken = "nextToken"
            case volumeRecommendations = "volumeRecommendations"
        }
    }

    public struct GetEC2InstanceRecommendationsRequest: AWSEncodableShape {
        /// The ID of the Amazon Web Services account for which to return instance recommendations. If your account is the management account of an organization, use this parameter to specify the member account for which you want to return instance recommendations. Only one account ID can be specified per request.
        public let accountIds: [String]?
        /// An array of objects to specify a filter that returns a more specific list of instance recommendations.
        public let filters: [Filter]?
        /// The Amazon Resource Name (ARN) of the instances for which to return recommendations.
        public let instanceArns: [String]?
        /// The maximum number of instance recommendations to return with a single request. To retrieve the remaining results, make another request with the returned nextToken value.
        public let maxResults: Int?
        /// The token to advance to the next page of instance recommendations.
        public let nextToken: String?
        /// An object to specify the preferences for the Amazon EC2 instance recommendations to return in the response.
        public let recommendationPreferences: RecommendationPreferences?

        @inlinable
        public init(accountIds: [String]? = nil, filters: [Filter]? = nil, instanceArns: [String]? = nil, maxResults: Int? = nil, nextToken: String? = nil, recommendationPreferences: RecommendationPreferences? = nil) {
            self.accountIds = accountIds
            self.filters = filters
            self.instanceArns = instanceArns
            self.maxResults = maxResults
            self.nextToken = nextToken
            self.recommendationPreferences = recommendationPreferences
        }

        public func validate(name: String) throws {
            try self.validate(self.maxResults, name: "maxResults", parent: name, max: 1000)
            try self.validate(self.maxResults, name: "maxResults", parent: name, min: 0)
        }

        private enum CodingKeys: String, CodingKey {
            case accountIds = "accountIds"
            case filters = "filters"
            case instanceArns = "instanceArns"
            case maxResults = "maxResults"
            case nextToken = "nextToken"
            case recommendationPreferences = "recommendationPreferences"
        }
    }

    public struct GetEC2InstanceRecommendationsResponse: AWSDecodableShape {
        /// An array of objects that describe errors of the request. For example, an error is returned if you request recommendations for an instance of an unsupported instance family.
        public let errors: [GetRecommendationError]?
        /// An array of objects that describe instance recommendations.
        public let instanceRecommendations: [InstanceRecommendation]?
        /// The token to use to advance to the next page of instance recommendations. This value is null when there are no more pages of instance recommendations to return.
        public let nextToken: String?

        @inlinable
        public init(errors: [GetRecommendationError]? = nil, instanceRecommendations: [InstanceRecommendation]? = nil, nextToken: String? = nil) {
            self.errors = errors
            self.instanceRecommendations = instanceRecommendations
            self.nextToken = nextToken
        }

        private enum CodingKeys: String, CodingKey {
            case errors = "errors"
            case instanceRecommendations = "instanceRecommendations"
            case nextToken = "nextToken"
        }
    }

    public struct GetEC2RecommendationProjectedMetricsRequest: AWSEncodableShape {
        /// The timestamp of the last projected metrics data point to return.
        public let endTime: Date
        /// The Amazon Resource Name (ARN) of the instances for which to return recommendation projected metrics.
        public let instanceArn: String
        /// The granularity, in seconds, of the projected metrics data points.
        public let period: Int
        /// An object to specify the preferences for the Amazon EC2 recommendation projected metrics to return in the response.
        public let recommendationPreferences: RecommendationPreferences?
        /// The timestamp of the first projected metrics data point to return.
        public let startTime: Date
        /// The statistic of the projected metrics.
        public let stat: MetricStatistic

        @inlinable
        public init(endTime: Date, instanceArn: String, period: Int = 0, recommendationPreferences: RecommendationPreferences? = nil, startTime: Date, stat: MetricStatistic) {
            self.endTime = endTime
            self.instanceArn = instanceArn
            self.period = period
            self.recommendationPreferences = recommendationPreferences
            self.startTime = startTime
            self.stat = stat
        }

        private enum CodingKeys: String, CodingKey {
            case endTime = "endTime"
            case instanceArn = "instanceArn"
            case period = "period"
            case recommendationPreferences = "recommendationPreferences"
            case startTime = "startTime"
            case stat = "stat"
        }
    }

    public struct GetEC2RecommendationProjectedMetricsResponse: AWSDecodableShape {
        /// An array of objects that describes projected metrics.
        public let recommendedOptionProjectedMetrics: [RecommendedOptionProjectedMetric]?

        @inlinable
        public init(recommendedOptionProjectedMetrics: [RecommendedOptionProjectedMetric]? = nil) {
            self.recommendedOptionProjectedMetrics = recommendedOptionProjectedMetrics
        }

        private enum CodingKeys: String, CodingKey {
            case recommendedOptionProjectedMetrics = "recommendedOptionProjectedMetrics"
        }
    }

    public struct GetECSServiceRecommendationProjectedMetricsRequest: AWSEncodableShape {
        ///  The timestamp of the last projected metrics data point to return.
        public let endTime: Date
        ///  The granularity, in seconds, of the projected metrics data points.
        public let period: Int
        ///  The ARN that identifies the Amazon ECS service.   The following is the format of the ARN:   arn:aws:ecs:region:aws_account_id:service/cluster-name/service-name
        public let serviceArn: String
        ///  The timestamp of the first projected metrics data point to return.
        public let startTime: Date
        ///  The statistic of the projected metrics.
        public let stat: MetricStatistic

        @inlinable
        public init(endTime: Date, period: Int = 0, serviceArn: String, startTime: Date, stat: MetricStatistic) {
            self.endTime = endTime
            self.period = period
            self.serviceArn = serviceArn
            self.startTime = startTime
            self.stat = stat
        }

        private enum CodingKeys: String, CodingKey {
            case endTime = "endTime"
            case period = "period"
            case serviceArn = "serviceArn"
            case startTime = "startTime"
            case stat = "stat"
        }
    }

    public struct GetECSServiceRecommendationProjectedMetricsResponse: AWSDecodableShape {
        ///  An array of objects that describes the projected metrics.
        public let recommendedOptionProjectedMetrics: [ECSServiceRecommendedOptionProjectedMetric]?

        @inlinable
        public init(recommendedOptionProjectedMetrics: [ECSServiceRecommendedOptionProjectedMetric]? = nil) {
            self.recommendedOptionProjectedMetrics = recommendedOptionProjectedMetrics
        }

        private enum CodingKeys: String, CodingKey {
            case recommendedOptionProjectedMetrics = "recommendedOptionProjectedMetrics"
        }
    }

    public struct GetECSServiceRecommendationsRequest: AWSEncodableShape {
        ///  Return the Amazon ECS service recommendations to the specified Amazon Web Services account IDs.  If your account is the management account or the delegated administrator  of an organization, use this parameter to return the Amazon ECS service recommendations to specific member accounts. You can only specify one account ID per request.
        public let accountIds: [String]?
        ///  An array of objects to specify a filter that returns a more specific list of Amazon ECS service recommendations.
        public let filters: [ECSServiceRecommendationFilter]?
        ///  The maximum number of Amazon ECS service recommendations to return with a single request.  To retrieve the remaining results, make another request with the returned  nextToken value.
        public let maxResults: Int?
        ///  The token to advance to the next page of Amazon ECS service recommendations.
        public let nextToken: String?
        ///  The ARN that identifies the Amazon ECS service.   The following is the format of the ARN:   arn:aws:ecs:region:aws_account_id:service/cluster-name/service-name
        public let serviceArns: [String]?

        @inlinable
        public init(accountIds: [String]? = nil, filters: [ECSServiceRecommendationFilter]? = nil, maxResults: Int? = nil, nextToken: String? = nil, serviceArns: [String]? = nil) {
            self.accountIds = accountIds
            self.filters = filters
            self.maxResults = maxResults
            self.nextToken = nextToken
            self.serviceArns = serviceArns
        }

        public func validate(name: String) throws {
            try self.validate(self.maxResults, name: "maxResults", parent: name, max: 1000)
            try self.validate(self.maxResults, name: "maxResults", parent: name, min: 0)
        }

        private enum CodingKeys: String, CodingKey {
            case accountIds = "accountIds"
            case filters = "filters"
            case maxResults = "maxResults"
            case nextToken = "nextToken"
            case serviceArns = "serviceArns"
        }
    }

    public struct GetECSServiceRecommendationsResponse: AWSDecodableShape {
        ///  An array of objects that describe the Amazon ECS service recommendations.
        public let ecsServiceRecommendations: [ECSServiceRecommendation]?
        ///  An array of objects that describe errors of the request.
        public let errors: [GetRecommendationError]?
        ///  The token to advance to the next page of Amazon ECS service recommendations.
        public let nextToken: String?

        @inlinable
        public init(ecsServiceRecommendations: [ECSServiceRecommendation]? = nil, errors: [GetRecommendationError]? = nil, nextToken: String? = nil) {
            self.ecsServiceRecommendations = ecsServiceRecommendations
            self.errors = errors
            self.nextToken = nextToken
        }

        private enum CodingKeys: String, CodingKey {
            case ecsServiceRecommendations = "ecsServiceRecommendations"
            case errors = "errors"
            case nextToken = "nextToken"
        }
    }

    public struct GetEffectiveRecommendationPreferencesRequest: AWSEncodableShape {
        /// The Amazon Resource Name (ARN) of the resource for which to confirm effective recommendation preferences. Only EC2 instance and Auto Scaling group ARNs are currently supported.
        public let resourceArn: String

        @inlinable
        public init(resourceArn: String) {
            self.resourceArn = resourceArn
        }

        private enum CodingKeys: String, CodingKey {
            case resourceArn = "resourceArn"
        }
    }

    public struct GetEffectiveRecommendationPreferencesResponse: AWSDecodableShape {
        /// The status of the enhanced infrastructure metrics recommendation preference. Considers all applicable preferences that you might have set at the resource, account, and organization level. A status of Active confirms that the preference is applied in the latest recommendation refresh, and a status of Inactive confirms that it's not yet applied to recommendations. To validate whether the preference is applied to your last generated set of recommendations, review the effectiveRecommendationPreferences value in the response of the GetAutoScalingGroupRecommendations and GetEC2InstanceRecommendations actions. For more information, see Enhanced infrastructure metrics in the Compute Optimizer User Guide.
        public let enhancedInfrastructureMetrics: EnhancedInfrastructureMetrics?
        /// The provider of the external metrics recommendation preference. Considers all applicable preferences that you might have set at the account and organization level. If the preference is applied in the latest recommendation refresh, an object with a valid source value appears in the response. If the preference isn't applied to the recommendations already, then this object doesn't appear in the response. To validate whether the preference is applied to your last generated set of recommendations, review the effectiveRecommendationPreferences value in the response of the GetEC2InstanceRecommendations actions. For more information, see Enhanced infrastructure metrics in the Compute Optimizer User Guide.
        public let externalMetricsPreference: ExternalMetricsPreference?
        ///  The number of days the utilization metrics of the Amazon Web Services resource are analyzed.   To validate that the preference is applied to your last generated set of recommendations, review  the effectiveRecommendationPreferences value in the response of the  GetAutoScalingGroupRecommendations or GetEC2InstanceRecommendations actions.
        public let lookBackPeriod: LookBackPeriodPreference?
        ///  The resource type values that are considered as candidates when generating rightsizing recommendations.  This object resolves any wildcard expressions and returns the effective list of candidate resource type  values. It also considers all applicable preferences that you set at the resource, account, and  organization level.  To validate that the preference is applied to your last generated set of recommendations, review the  effectiveRecommendationPreferences value in the response of the GetAutoScalingGroupRecommendations  or GetEC2InstanceRecommendations actions.
        public let preferredResources: [EffectivePreferredResource]?
        ///  The resource’s CPU and memory utilization preferences, such as threshold and headroom,  that were used to generate rightsizing recommendations. It considers all applicable preferences  that you set at the resource, account, and organization level.  To validate that the preference is applied to your last generated set of recommendations, review the  effectiveRecommendationPreferences value in the response of the  GetAutoScalingGroupRecommendations or GetEC2InstanceRecommendations actions.
        public let utilizationPreferences: [UtilizationPreference]?

        @inlinable
        public init(enhancedInfrastructureMetrics: EnhancedInfrastructureMetrics? = nil, externalMetricsPreference: ExternalMetricsPreference? = nil, lookBackPeriod: LookBackPeriodPreference? = nil, preferredResources: [EffectivePreferredResource]? = nil, utilizationPreferences: [UtilizationPreference]? = nil) {
            self.enhancedInfrastructureMetrics = enhancedInfrastructureMetrics
            self.externalMetricsPreference = externalMetricsPreference
            self.lookBackPeriod = lookBackPeriod
            self.preferredResources = preferredResources
            self.utilizationPreferences = utilizationPreferences
        }

        private enum CodingKeys: String, CodingKey {
            case enhancedInfrastructureMetrics = "enhancedInfrastructureMetrics"
            case externalMetricsPreference = "externalMetricsPreference"
            case lookBackPeriod = "lookBackPeriod"
            case preferredResources = "preferredResources"
            case utilizationPreferences = "utilizationPreferences"
        }
    }

    public struct GetEnrollmentStatusRequest: AWSEncodableShape {
        public init() {}
    }

    public struct GetEnrollmentStatusResponse: AWSDecodableShape {
        /// The Unix epoch timestamp, in seconds, of when the account enrollment status was last updated.
        public let lastUpdatedTimestamp: Date?
        /// Confirms the enrollment status of member accounts of the organization, if the account is a management account of an organization.
        public let memberAccountsEnrolled: Bool?
        /// The count of organization member accounts that are opted in to the service, if your account is an organization management account.
        public let numberOfMemberAccountsOptedIn: Int?
        /// The enrollment status of the account.
        public let status: Status?
        /// The reason for the enrollment status of the account. For example, an account might show a status of Pending because member accounts of an organization require more time to be enrolled in the service.
        public let statusReason: String?

        @inlinable
        public init(lastUpdatedTimestamp: Date? = nil, memberAccountsEnrolled: Bool? = nil, numberOfMemberAccountsOptedIn: Int? = nil, status: Status? = nil, statusReason: String? = nil) {
            self.lastUpdatedTimestamp = lastUpdatedTimestamp
            self.memberAccountsEnrolled = memberAccountsEnrolled
            self.numberOfMemberAccountsOptedIn = numberOfMemberAccountsOptedIn
            self.status = status
            self.statusReason = statusReason
        }

        private enum CodingKeys: String, CodingKey {
            case lastUpdatedTimestamp = "lastUpdatedTimestamp"
            case memberAccountsEnrolled = "memberAccountsEnrolled"
            case numberOfMemberAccountsOptedIn = "numberOfMemberAccountsOptedIn"
            case status = "status"
            case statusReason = "statusReason"
        }
    }

    public struct GetEnrollmentStatusesForOrganizationRequest: AWSEncodableShape {
        /// An array of objects to specify a filter that returns a more specific list of account enrollment statuses.
        public let filters: [EnrollmentFilter]?
        /// The maximum number of account enrollment statuses to return with a single request. You can specify up to 100 statuses to return with each request. To retrieve the remaining results, make another request with the returned nextToken value.
        public let maxResults: Int?
        /// The token to advance to the next page of account enrollment statuses.
        public let nextToken: String?

        @inlinable
        public init(filters: [EnrollmentFilter]? = nil, maxResults: Int? = nil, nextToken: String? = nil) {
            self.filters = filters
            self.maxResults = maxResults
            self.nextToken = nextToken
        }

        public func validate(name: String) throws {
            try self.validate(self.maxResults, name: "maxResults", parent: name, max: 1000)
            try self.validate(self.maxResults, name: "maxResults", parent: name, min: 0)
        }

        private enum CodingKeys: String, CodingKey {
            case filters = "filters"
            case maxResults = "maxResults"
            case nextToken = "nextToken"
        }
    }

    public struct GetEnrollmentStatusesForOrganizationResponse: AWSDecodableShape {
        /// An array of objects that describe the enrollment statuses of organization member accounts.
        public let accountEnrollmentStatuses: [AccountEnrollmentStatus]?
        /// The token to use to advance to the next page of account enrollment statuses. This value is null when there are no more pages of account enrollment statuses to return.
        public let nextToken: String?

        @inlinable
        public init(accountEnrollmentStatuses: [AccountEnrollmentStatus]? = nil, nextToken: String? = nil) {
            self.accountEnrollmentStatuses = accountEnrollmentStatuses
            self.nextToken = nextToken
        }

        private enum CodingKeys: String, CodingKey {
            case accountEnrollmentStatuses = "accountEnrollmentStatuses"
            case nextToken = "nextToken"
        }
    }

    public struct GetIdleRecommendationsRequest: AWSEncodableShape {
        /// Return the idle resource recommendations to the specified Amazon Web Services account IDs. If your account is the management account  or the delegated administrator of an organization, use this parameter to return the idle resource recommendations to  specific member accounts. You can only specify one account ID per request.
        public let accountIds: [String]?
        /// An array of objects to specify a filter that returns a more specific list of idle resource recommendations.
        public let filters: [IdleRecommendationFilter]?
        /// The maximum number of idle resource recommendations to return with a single request.  To retrieve the remaining results,  make another request with the returned nextToken value.
        public let maxResults: Int?
        /// The token to advance to the next page of idle resource recommendations.
        public let nextToken: String?
        /// The order to sort the idle resource recommendations.
        public let orderBy: OrderBy?
        /// The ARN that identifies the idle resource.
        public let resourceArns: [String]?

        @inlinable
        public init(accountIds: [String]? = nil, filters: [IdleRecommendationFilter]? = nil, maxResults: Int? = nil, nextToken: String? = nil, orderBy: OrderBy? = nil, resourceArns: [String]? = nil) {
            self.accountIds = accountIds
            self.filters = filters
            self.maxResults = maxResults
            self.nextToken = nextToken
            self.orderBy = orderBy
            self.resourceArns = resourceArns
        }

        public func validate(name: String) throws {
            try self.validate(self.maxResults, name: "maxResults", parent: name, max: 100)
            try self.validate(self.maxResults, name: "maxResults", parent: name, min: 0)
        }

        private enum CodingKeys: String, CodingKey {
            case accountIds = "accountIds"
            case filters = "filters"
            case maxResults = "maxResults"
            case nextToken = "nextToken"
            case orderBy = "orderBy"
            case resourceArns = "resourceArns"
        }
    }

    public struct GetIdleRecommendationsResponse: AWSDecodableShape {
        /// An array of objects that describe errors of the request.
        public let errors: [IdleRecommendationError]?
        /// An array of objects that describe the idle resource recommendations.
        public let idleRecommendations: [IdleRecommendation]?
        /// The token to advance to the next page of idle resource recommendations.
        public let nextToken: String?

        @inlinable
        public init(errors: [IdleRecommendationError]? = nil, idleRecommendations: [IdleRecommendation]? = nil, nextToken: String? = nil) {
            self.errors = errors
            self.idleRecommendations = idleRecommendations
            self.nextToken = nextToken
        }

        private enum CodingKeys: String, CodingKey {
            case errors = "errors"
            case idleRecommendations = "idleRecommendations"
            case nextToken = "nextToken"
        }
    }

    public struct GetLambdaFunctionRecommendationsRequest: AWSEncodableShape {
        /// The ID of the Amazon Web Services account for which to return function recommendations. If your account is the management account of an organization, use this parameter to specify the member account for which you want to return function recommendations. Only one account ID can be specified per request.
        public let accountIds: [String]?
        /// An array of objects to specify a filter that returns a more specific list of function recommendations.
        public let filters: [LambdaFunctionRecommendationFilter]?
        /// The Amazon Resource Name (ARN) of the functions for which to return recommendations. You can specify a qualified or unqualified ARN. If you specify an unqualified ARN without a function version suffix, Compute Optimizer will return recommendations for the latest ($LATEST) version of the function. If you specify a qualified ARN with a version suffix, Compute Optimizer will return recommendations for the specified function version. For more information about using function versions, see Using versions in the Lambda Developer Guide.
        public let functionArns: [String]?
        /// The maximum number of function recommendations to return with a single request. To retrieve the remaining results, make another request with the returned nextToken value.
        public let maxResults: Int?
        /// The token to advance to the next page of function recommendations.
        public let nextToken: String?

        @inlinable
        public init(accountIds: [String]? = nil, filters: [LambdaFunctionRecommendationFilter]? = nil, functionArns: [String]? = nil, maxResults: Int? = nil, nextToken: String? = nil) {
            self.accountIds = accountIds
            self.filters = filters
            self.functionArns = functionArns
            self.maxResults = maxResults
            self.nextToken = nextToken
        }

        public func validate(name: String) throws {
            try self.validate(self.maxResults, name: "maxResults", parent: name, max: 1000)
            try self.validate(self.maxResults, name: "maxResults", parent: name, min: 0)
        }

        private enum CodingKeys: String, CodingKey {
            case accountIds = "accountIds"
            case filters = "filters"
            case functionArns = "functionArns"
            case maxResults = "maxResults"
            case nextToken = "nextToken"
        }
    }

    public struct GetLambdaFunctionRecommendationsResponse: AWSDecodableShape {
        /// An array of objects that describe function recommendations.
        public let lambdaFunctionRecommendations: [LambdaFunctionRecommendation]?
        /// The token to use to advance to the next page of function recommendations. This value is null when there are no more pages of function recommendations to return.
        public let nextToken: String?

        @inlinable
        public init(lambdaFunctionRecommendations: [LambdaFunctionRecommendation]? = nil, nextToken: String? = nil) {
            self.lambdaFunctionRecommendations = lambdaFunctionRecommendations
            self.nextToken = nextToken
        }

        private enum CodingKeys: String, CodingKey {
            case lambdaFunctionRecommendations = "lambdaFunctionRecommendations"
            case nextToken = "nextToken"
        }
    }

    public struct GetLicenseRecommendationsRequest: AWSEncodableShape {
        /// The ID of the Amazon Web Services account for which to return license recommendations. If your account is the management account of an organization, use this parameter to specify the member account for which you want to return license recommendations. Only one account ID can be specified per request.
        public let accountIds: [String]?
        ///  An array of objects to specify a filter that returns a more specific list of license recommendations.
        public let filters: [LicenseRecommendationFilter]?
        ///  The maximum number of license recommendations to return with a single request.   To retrieve the remaining results, make another request with the returned nextToken value.
        public let maxResults: Int?
        ///  The token to advance to the next page of license recommendations.
        public let nextToken: String?
        ///  The ARN that identifies the Amazon EC2 instance.   The following is the format of the ARN:   arn:aws:ec2:region:aws_account_id:instance/instance-id
        public let resourceArns: [String]?

        @inlinable
        public init(accountIds: [String]? = nil, filters: [LicenseRecommendationFilter]? = nil, maxResults: Int? = nil, nextToken: String? = nil, resourceArns: [String]? = nil) {
            self.accountIds = accountIds
            self.filters = filters
            self.maxResults = maxResults
            self.nextToken = nextToken
            self.resourceArns = resourceArns
        }

        public func validate(name: String) throws {
            try self.validate(self.maxResults, name: "maxResults", parent: name, max: 1000)
            try self.validate(self.maxResults, name: "maxResults", parent: name, min: 0)
        }

        private enum CodingKeys: String, CodingKey {
            case accountIds = "accountIds"
            case filters = "filters"
            case maxResults = "maxResults"
            case nextToken = "nextToken"
            case resourceArns = "resourceArns"
        }
    }

    public struct GetLicenseRecommendationsResponse: AWSDecodableShape {
        ///  An array of objects that describe errors of the request.
        public let errors: [GetRecommendationError]?
        ///  An array of objects that describe license recommendations.
        public let licenseRecommendations: [LicenseRecommendation]?
        ///  The token to use to advance to the next page of license recommendations.
        public let nextToken: String?

        @inlinable
        public init(errors: [GetRecommendationError]? = nil, licenseRecommendations: [LicenseRecommendation]? = nil, nextToken: String? = nil) {
            self.errors = errors
            self.licenseRecommendations = licenseRecommendations
            self.nextToken = nextToken
        }

        private enum CodingKeys: String, CodingKey {
            case errors = "errors"
            case licenseRecommendations = "licenseRecommendations"
            case nextToken = "nextToken"
        }
    }

    public struct GetRDSDatabaseRecommendationProjectedMetricsRequest: AWSEncodableShape {
        ///  The timestamp of the last projected metrics data point to return.
        public let endTime: Date
        ///  The granularity, in seconds, of the projected metrics data points.
        public let period: Int
        public let recommendationPreferences: RecommendationPreferences?
        ///  The ARN that identifies the Amazon Aurora or RDS database.   The following is the format of the ARN:   arn:aws:rds:{region}:{accountId}:db:{resourceName}
        public let resourceArn: String
        ///  The timestamp of the first projected metrics data point to return.
        public let startTime: Date
        ///  The statistic of the projected metrics.
        public let stat: MetricStatistic

        @inlinable
        public init(endTime: Date, period: Int = 0, recommendationPreferences: RecommendationPreferences? = nil, resourceArn: String, startTime: Date, stat: MetricStatistic) {
            self.endTime = endTime
            self.period = period
            self.recommendationPreferences = recommendationPreferences
            self.resourceArn = resourceArn
            self.startTime = startTime
            self.stat = stat
        }

        private enum CodingKeys: String, CodingKey {
            case endTime = "endTime"
            case period = "period"
            case recommendationPreferences = "recommendationPreferences"
            case resourceArn = "resourceArn"
            case startTime = "startTime"
            case stat = "stat"
        }
    }

    public struct GetRDSDatabaseRecommendationProjectedMetricsResponse: AWSDecodableShape {
        ///  An array of objects that describes the projected metrics.
        public let recommendedOptionProjectedMetrics: [RDSDatabaseRecommendedOptionProjectedMetric]?

        @inlinable
        public init(recommendedOptionProjectedMetrics: [RDSDatabaseRecommendedOptionProjectedMetric]? = nil) {
            self.recommendedOptionProjectedMetrics = recommendedOptionProjectedMetrics
        }

        private enum CodingKeys: String, CodingKey {
            case recommendedOptionProjectedMetrics = "recommendedOptionProjectedMetrics"
        }
    }

    public struct GetRDSDatabaseRecommendationsRequest: AWSEncodableShape {
        ///  Return the Amazon Aurora and RDS database recommendations to the specified Amazon Web Services account IDs.  If your account is the management account or the delegated administrator  of an organization, use this parameter to return the Amazon Aurora and RDS database recommendations to specific member accounts. You can only specify one account ID per request.
        public let accountIds: [String]?
        ///  An array of objects to specify a filter that returns a more specific list of Amazon Aurora and RDS database recommendations.
        public let filters: [RDSDBRecommendationFilter]?
        /// The maximum number of Amazon Aurora and RDS database recommendations to return with a single request. To retrieve the remaining results, make another request with the returned nextToken value.
        public let maxResults: Int?
        ///  The token to advance to the next page of Amazon Aurora and RDS database recommendations.
        public let nextToken: String?
        public let recommendationPreferences: RecommendationPreferences?
        ///  The ARN that identifies the Amazon Aurora or RDS database.   The following is the format of the ARN:   arn:aws:rds:{region}:{accountId}:db:{resourceName}  The following is the format of a DB Cluster ARN:   arn:aws:rds:{region}:{accountId}:cluster:{resourceName}
        public let resourceArns: [String]?

        @inlinable
        public init(accountIds: [String]? = nil, filters: [RDSDBRecommendationFilter]? = nil, maxResults: Int? = nil, nextToken: String? = nil, recommendationPreferences: RecommendationPreferences? = nil, resourceArns: [String]? = nil) {
            self.accountIds = accountIds
            self.filters = filters
            self.maxResults = maxResults
            self.nextToken = nextToken
            self.recommendationPreferences = recommendationPreferences
            self.resourceArns = resourceArns
        }

        public func validate(name: String) throws {
            try self.validate(self.maxResults, name: "maxResults", parent: name, max: 1000)
            try self.validate(self.maxResults, name: "maxResults", parent: name, min: 0)
        }

        private enum CodingKeys: String, CodingKey {
            case accountIds = "accountIds"
            case filters = "filters"
            case maxResults = "maxResults"
            case nextToken = "nextToken"
            case recommendationPreferences = "recommendationPreferences"
            case resourceArns = "resourceArns"
        }
    }

    public struct GetRDSDatabaseRecommendationsResponse: AWSDecodableShape {
        ///  An array of objects that describe errors of the request.
        public let errors: [GetRecommendationError]?
        ///  The token to advance to the next page of Amazon Aurora and RDS database recommendations.
        public let nextToken: String?
        ///  An array of objects that describe the Amazon Aurora and RDS database recommendations.
        public let rdsDBRecommendations: [RDSDBRecommendation]?

        @inlinable
        public init(errors: [GetRecommendationError]? = nil, nextToken: String? = nil, rdsDBRecommendations: [RDSDBRecommendation]? = nil) {
            self.errors = errors
            self.nextToken = nextToken
            self.rdsDBRecommendations = rdsDBRecommendations
        }

        private enum CodingKeys: String, CodingKey {
            case errors = "errors"
            case nextToken = "nextToken"
            case rdsDBRecommendations = "rdsDBRecommendations"
        }
    }

    public struct GetRecommendationError: AWSDecodableShape {
        /// The error code.
        public let code: String?
        /// The ID of the error.
        public let identifier: String?
        /// The message, or reason, for the error.
        public let message: String?

        @inlinable
        public init(code: String? = nil, identifier: String? = nil, message: String? = nil) {
            self.code = code
            self.identifier = identifier
            self.message = message
        }

        private enum CodingKeys: String, CodingKey {
            case code = "code"
            case identifier = "identifier"
            case message = "message"
        }
    }

    public struct GetRecommendationPreferencesRequest: AWSEncodableShape {
        /// The maximum number of recommendation preferences to return with a single request. To retrieve the remaining results, make another request with the returned nextToken value.
        public let maxResults: Int?
        /// The token to advance to the next page of recommendation preferences.
        public let nextToken: String?
        /// The target resource type of the recommendation preference for which to return preferences. The Ec2Instance option encompasses standalone instances and instances that are part of Auto Scaling groups. The AutoScalingGroup option encompasses only instances that are part of an Auto Scaling group.
        public let resourceType: ResourceType
        /// An object that describes the scope of the recommendation preference to return. You can return recommendation preferences that are created at the organization level (for management accounts of an organization only), account level, and resource level. For more information, see Activating enhanced infrastructure metrics in the Compute Optimizer User Guide.
        public let scope: Scope?

        @inlinable
        public init(maxResults: Int? = nil, nextToken: String? = nil, resourceType: ResourceType, scope: Scope? = nil) {
            self.maxResults = maxResults
            self.nextToken = nextToken
            self.resourceType = resourceType
            self.scope = scope
        }

        public func validate(name: String) throws {
            try self.validate(self.maxResults, name: "maxResults", parent: name, max: 1000)
            try self.validate(self.maxResults, name: "maxResults", parent: name, min: 0)
        }

        private enum CodingKeys: String, CodingKey {
            case maxResults = "maxResults"
            case nextToken = "nextToken"
            case resourceType = "resourceType"
            case scope = "scope"
        }
    }

    public struct GetRecommendationPreferencesResponse: AWSDecodableShape {
        /// The token to use to advance to the next page of recommendation preferences. This value is null when there are no more pages of recommendation preferences to return.
        public let nextToken: String?
        /// An array of objects that describe recommendation preferences.
        public let recommendationPreferencesDetails: [RecommendationPreferencesDetail]?

        @inlinable
        public init(nextToken: String? = nil, recommendationPreferencesDetails: [RecommendationPreferencesDetail]? = nil) {
            self.nextToken = nextToken
            self.recommendationPreferencesDetails = recommendationPreferencesDetails
        }

        private enum CodingKeys: String, CodingKey {
            case nextToken = "nextToken"
            case recommendationPreferencesDetails = "recommendationPreferencesDetails"
        }
    }

    public struct GetRecommendationSummariesRequest: AWSEncodableShape {
        /// The ID of the Amazon Web Services account for which to return recommendation summaries. If your account is the management account of an organization, use this parameter to specify the member account for which you want to return recommendation summaries. Only one account ID can be specified per request.
        public let accountIds: [String]?
        /// The maximum number of recommendation summaries to return with a single request. To retrieve the remaining results, make another request with the returned nextToken value.
        public let maxResults: Int?
        /// The token to advance to the next page of recommendation summaries.
        public let nextToken: String?

        @inlinable
        public init(accountIds: [String]? = nil, maxResults: Int? = nil, nextToken: String? = nil) {
            self.accountIds = accountIds
            self.maxResults = maxResults
            self.nextToken = nextToken
        }

        public func validate(name: String) throws {
            try self.validate(self.maxResults, name: "maxResults", parent: name, max: 1000)
            try self.validate(self.maxResults, name: "maxResults", parent: name, min: 0)
        }

        private enum CodingKeys: String, CodingKey {
            case accountIds = "accountIds"
            case maxResults = "maxResults"
            case nextToken = "nextToken"
        }
    }

    public struct GetRecommendationSummariesResponse: AWSDecodableShape {
        /// The token to use to advance to the next page of recommendation summaries. This value is null when there are no more pages of recommendation summaries to return.
        public let nextToken: String?
        /// An array of objects that summarize a recommendation.
        public let recommendationSummaries: [RecommendationSummary]?

        @inlinable
        public init(nextToken: String? = nil, recommendationSummaries: [RecommendationSummary]? = nil) {
            self.nextToken = nextToken
            self.recommendationSummaries = recommendationSummaries
        }

        private enum CodingKeys: String, CodingKey {
            case nextToken = "nextToken"
            case recommendationSummaries = "recommendationSummaries"
        }
    }

    public struct Gpu: AWSDecodableShape {
        ///  The number of GPUs for the instance type.
        public let gpuCount: Int?
        ///  The total size of the memory for the GPU accelerators for the instance type, in MiB.
        public let gpuMemorySizeInMiB: Int?

        @inlinable
        public init(gpuCount: Int? = nil, gpuMemorySizeInMiB: Int? = nil) {
            self.gpuCount = gpuCount
            self.gpuMemorySizeInMiB = gpuMemorySizeInMiB
        }

        private enum CodingKeys: String, CodingKey {
            case gpuCount = "gpuCount"
            case gpuMemorySizeInMiB = "gpuMemorySizeInMiB"
        }
    }

    public struct GpuInfo: AWSDecodableShape {
        ///  Describes the GPU accelerators for the instance type.
        public let gpus: [Gpu]?

        @inlinable
        public init(gpus: [Gpu]? = nil) {
            self.gpus = gpus
        }

        private enum CodingKeys: String, CodingKey {
            case gpus = "gpus"
        }
    }

    public struct IdleEstimatedMonthlySavings: AWSDecodableShape {
        /// The currency of the estimated monthly savings.
        public let currency: Currency?
        /// The value of the estimated monthly savings for Idle resources.
        public let value: Double?

        @inlinable
        public init(currency: Currency? = nil, value: Double? = nil) {
            self.currency = currency
            self.value = value
        }

        private enum CodingKeys: String, CodingKey {
            case currency = "currency"
            case value = "value"
        }
    }

    public struct IdleRecommendation: AWSDecodableShape {
        /// The Amazon Web Services account ID of the idle resource.
        public let accountId: String?
        /// The finding classification of an idle resource.
        public let finding: IdleFinding?
        /// A summary of the findings for the resource.
        public let findingDescription: String?
        /// The timestamp of when the idle resource recommendation was last generated.
        public let lastRefreshTimestamp: Date?
        /// The number of days the idle resource utilization metrics were analyzed.
        public let lookBackPeriodInDays: Double?
        /// The ARN of the current idle resource.
        public let resourceArn: String?
        /// The unique identifier for the resource.
        public let resourceId: String?
        /// The type of resource that is idle.
        public let resourceType: IdleRecommendationResourceType?
        /// The savings opportunity for the idle resource.
        public let savingsOpportunity: IdleSavingsOpportunity?
        /// The savings opportunity for the idle resource after any applying discounts.
        public let savingsOpportunityAfterDiscounts: IdleSavingsOpportunityAfterDiscounts?
        /// A list of tags assigned to your idle resource recommendations.
        public let tags: [Tag]?
        /// An array of objects that describe the utilization metrics of the idle resource.
        public let utilizationMetrics: [IdleUtilizationMetric]?

        @inlinable
        public init(accountId: String? = nil, finding: IdleFinding? = nil, findingDescription: String? = nil, lastRefreshTimestamp: Date? = nil, lookBackPeriodInDays: Double? = nil, resourceArn: String? = nil, resourceId: String? = nil, resourceType: IdleRecommendationResourceType? = nil, savingsOpportunity: IdleSavingsOpportunity? = nil, savingsOpportunityAfterDiscounts: IdleSavingsOpportunityAfterDiscounts? = nil, tags: [Tag]? = nil, utilizationMetrics: [IdleUtilizationMetric]? = nil) {
            self.accountId = accountId
            self.finding = finding
            self.findingDescription = findingDescription
            self.lastRefreshTimestamp = lastRefreshTimestamp
            self.lookBackPeriodInDays = lookBackPeriodInDays
            self.resourceArn = resourceArn
            self.resourceId = resourceId
            self.resourceType = resourceType
            self.savingsOpportunity = savingsOpportunity
            self.savingsOpportunityAfterDiscounts = savingsOpportunityAfterDiscounts
            self.tags = tags
            self.utilizationMetrics = utilizationMetrics
        }

        private enum CodingKeys: String, CodingKey {
            case accountId = "accountId"
            case finding = "finding"
            case findingDescription = "findingDescription"
            case lastRefreshTimestamp = "lastRefreshTimestamp"
            case lookBackPeriodInDays = "lookBackPeriodInDays"
            case resourceArn = "resourceArn"
            case resourceId = "resourceId"
            case resourceType = "resourceType"
            case savingsOpportunity = "savingsOpportunity"
            case savingsOpportunityAfterDiscounts = "savingsOpportunityAfterDiscounts"
            case tags = "tags"
            case utilizationMetrics = "utilizationMetrics"
        }
    }

    public struct IdleRecommendationError: AWSDecodableShape {
        /// The error code.
        public let code: String?
        /// The ID of the error.
        public let identifier: String?
        /// The error message.
        public let message: String?
        /// The type of resource associated with the error.
        public let resourceType: IdleRecommendationResourceType?

        @inlinable
        public init(code: String? = nil, identifier: String? = nil, message: String? = nil, resourceType: IdleRecommendationResourceType? = nil) {
            self.code = code
            self.identifier = identifier
            self.message = message
            self.resourceType = resourceType
        }

        private enum CodingKeys: String, CodingKey {
            case code = "code"
            case identifier = "identifier"
            case message = "message"
            case resourceType = "resourceType"
        }
    }

    public struct IdleRecommendationFilter: AWSEncodableShape {
        ///  The name of the filter.   Specify Finding to return recommendations with a specific finding classification.  You can filter your idle resource recommendations by tag:key  and tag-key tags. A tag:key is a key and value combination of a tag assigned to your  idle resource recommendations. Use the tag key in the filter name and the tag value  as the filter value. For example, to find all idle resource service recommendations that have  a tag with the key of Owner and the value of TeamA,  specify tag:Owner for the filter name and TeamA for the filter value. A tag-key is the key of a tag assigned to your idle resource recommendations. Use  this filter to find all of your idle resource recommendations that have a tag with a  specific key. This doesn’t consider the tag value. For example, you can find  your idle resource service recommendations with a tag key value of Owner or without any tag  keys assigned.
        public let name: IdleRecommendationFilterName?
        /// The value of the filter.
        public let values: [String]?

        @inlinable
        public init(name: IdleRecommendationFilterName? = nil, values: [String]? = nil) {
            self.name = name
            self.values = values
        }

        private enum CodingKeys: String, CodingKey {
            case name = "name"
            case values = "values"
        }
    }

    public struct IdleSavingsOpportunity: AWSDecodableShape {
        /// The estimated monthly savings possible by adopting Compute Optimizer's idle resource recommendations.
        public let estimatedMonthlySavings: IdleEstimatedMonthlySavings?
        /// The estimated monthly savings possible as a percentage of monthly cost by adopting Compute Optimizer's idle resource recommendations.
        public let savingsOpportunityPercentage: Double?

        @inlinable
        public init(estimatedMonthlySavings: IdleEstimatedMonthlySavings? = nil, savingsOpportunityPercentage: Double? = nil) {
            self.estimatedMonthlySavings = estimatedMonthlySavings
            self.savingsOpportunityPercentage = savingsOpportunityPercentage
        }

        private enum CodingKeys: String, CodingKey {
            case estimatedMonthlySavings = "estimatedMonthlySavings"
            case savingsOpportunityPercentage = "savingsOpportunityPercentage"
        }
    }

    public struct IdleSavingsOpportunityAfterDiscounts: AWSDecodableShape {
        /// The estimated monthly savings possible by adopting Compute Optimizer's idle resource recommendations. This includes any applicable discounts.
        public let estimatedMonthlySavings: IdleEstimatedMonthlySavings?
        /// The estimated monthly savings possible as a percentage of monthly cost by adopting Compute Optimizer's idle resource recommendations. This includes any applicable discounts.
        public let savingsOpportunityPercentage: Double?

        @inlinable
        public init(estimatedMonthlySavings: IdleEstimatedMonthlySavings? = nil, savingsOpportunityPercentage: Double? = nil) {
            self.estimatedMonthlySavings = estimatedMonthlySavings
            self.savingsOpportunityPercentage = savingsOpportunityPercentage
        }

        private enum CodingKeys: String, CodingKey {
            case estimatedMonthlySavings = "estimatedMonthlySavings"
            case savingsOpportunityPercentage = "savingsOpportunityPercentage"
        }
    }

    public struct IdleSummary: AWSDecodableShape {
        /// The name of the finding group for the idle resources.
        public let name: IdleFinding?
        /// The count of idle resources in the finding group.
        public let value: Double?

        @inlinable
        public init(name: IdleFinding? = nil, value: Double? = nil) {
            self.name = name
            self.value = value
        }

        private enum CodingKeys: String, CodingKey {
            case name = "name"
            case value = "value"
        }
    }

    public struct IdleUtilizationMetric: AWSDecodableShape {
        /// The name of the utilization metric.
        public let name: IdleMetricName?
        ///  The statistic of the utilization metric.  The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the Maximum statistic, which is the highest value observed during the specified period. The Compute Optimizer console displays graphs for some utilization metrics using the Average statistic, which is the value of Sum / SampleCount during the specified period. For more information, see Viewing resource recommendations in the Compute Optimizer User Guide. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the Amazon CloudWatch User Guide.
        public let statistic: MetricStatistic?
        /// The value of the utilization metric.
        public let value: Double?

        @inlinable
        public init(name: IdleMetricName? = nil, statistic: MetricStatistic? = nil, value: Double? = nil) {
            self.name = name
            self.statistic = statistic
            self.value = value
        }

        private enum CodingKeys: String, CodingKey {
            case name = "name"
            case statistic = "statistic"
            case value = "value"
        }
    }

    public struct InferredWorkloadSaving: AWSDecodableShape {
        /// An object that describes the estimated monthly savings amount possible by adopting Compute Optimizer recommendations for a given resource. This is based on the On-Demand instance pricing.
        public let estimatedMonthlySavings: EstimatedMonthlySavings?
        /// The applications that might be running on the instance as inferred by Compute Optimizer. Compute Optimizer can infer if one of the following applications might be running on the instance:    AmazonEmr - Infers that Amazon EMR might be running on the instance.    ApacheCassandra - Infers that Apache Cassandra might be running on the instance.    ApacheHadoop - Infers that Apache Hadoop might be running on the instance.    Memcached - Infers that Memcached might be running on the instance.    NGINX - Infers that NGINX might be running on the instance.    PostgreSql - Infers that PostgreSQL might be running on the instance.    Redis - Infers that Redis might be running on the instance.    Kafka - Infers that Kafka might be running on the instance.    SQLServer - Infers that SQLServer might be running on the instance.
        public let inferredWorkloadTypes: [InferredWorkloadType]?

        @inlinable
        public init(estimatedMonthlySavings: EstimatedMonthlySavings? = nil, inferredWorkloadTypes: [InferredWorkloadType]? = nil) {
            self.estimatedMonthlySavings = estimatedMonthlySavings
            self.inferredWorkloadTypes = inferredWorkloadTypes
        }

        private enum CodingKeys: String, CodingKey {
            case estimatedMonthlySavings = "estimatedMonthlySavings"
            case inferredWorkloadTypes = "inferredWorkloadTypes"
        }
    }

    public struct InstanceEstimatedMonthlySavings: AWSDecodableShape {
        ///  The currency of the estimated monthly savings.
        public let currency: Currency?
        ///  The value of the estimated monthly savings.
        public let value: Double?

        @inlinable
        public init(currency: Currency? = nil, value: Double? = nil) {
            self.currency = currency
            self.value = value
        }

        private enum CodingKeys: String, CodingKey {
            case currency = "currency"
            case value = "value"
        }
    }

    public struct InstanceRecommendation: AWSDecodableShape {
        /// The Amazon Web Services account ID of the instance.
        public let accountId: String?
        ///  Describes the GPU accelerator settings for the current instance type.
        public let currentInstanceGpuInfo: GpuInfo?
        /// The instance type of the current instance.
        public let currentInstanceType: String?
        /// The risk of the current instance not meeting the performance needs of its workloads. The higher the risk, the more likely the current instance cannot meet the performance requirements of its workload.
        public let currentPerformanceRisk: CurrentPerformanceRisk?
        /// An object that describes the effective recommendation preferences for the instance.
        public let effectiveRecommendationPreferences: EffectiveRecommendationPreferences?
        ///  An object that describes Compute Optimizer's integration status with your external metrics provider.
        public let externalMetricStatus: ExternalMetricStatus?
        /// The finding classification of the instance. Findings for instances include:     Underprovisioned —An instance is considered under-provisioned when at least one specification of your instance, such as CPU, memory, or network, does not meet the performance requirements of your workload. Under-provisioned instances may lead to poor application performance.     Overprovisioned —An instance is considered over-provisioned when at least one specification of your instance, such as CPU, memory, or network, can be sized down while still meeting the performance requirements of your workload, and no specification is under-provisioned. Over-provisioned instances may lead to unnecessary infrastructure cost.     Optimized —An instance is considered optimized when all specifications of your instance, such as CPU, memory, and network, meet the performance requirements of your workload and is not over provisioned. For optimized resources, Compute Optimizer might recommend a new generation instance type.    The valid values in your API responses appear as OVER_PROVISIONED, UNDER_PROVISIONED, or OPTIMIZED.
        public let finding: Finding?
        /// The reason for the finding classification of the instance. Finding reason codes for instances include:     CPUOverprovisioned — The instance’s CPU configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the CPUUtilization metric of the current instance during the look-back period.     CPUUnderprovisioned — The instance’s CPU configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better CPU performance. This is identified by analyzing the CPUUtilization metric of the current instance during the look-back period.     MemoryOverprovisioned — The instance’s memory configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the memory utilization metric of the current instance during the look-back period.     MemoryUnderprovisioned — The instance’s memory configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better memory performance. This is identified by analyzing the memory utilization metric of the current instance during the look-back period.  Memory utilization is analyzed only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling memory utilization with the Amazon CloudWatch Agent in the Compute Optimizer User Guide. On Linux instances, Compute Optimizer analyses the mem_used_percent metric in the CWAgent namespace, or the legacy MemoryUtilization metric in the System/Linux namespace. On Windows instances, Compute Optimizer analyses the Memory % Committed Bytes In Use metric in the CWAgent namespace.      EBSThroughputOverprovisioned — The instance’s EBS throughput configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the VolumeReadBytes and VolumeWriteBytes metrics of EBS volumes attached to the current instance during the look-back period.     EBSThroughputUnderprovisioned — The instance’s EBS throughput configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better EBS throughput performance. This is identified by analyzing the VolumeReadBytes and VolumeWriteBytes metrics of EBS volumes attached to the current instance during the look-back period.     EBSIOPSOverprovisioned — The instance’s EBS IOPS configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the VolumeReadOps and VolumeWriteOps metric of EBS volumes attached to the current instance during the look-back period.     EBSIOPSUnderprovisioned — The instance’s EBS IOPS configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better EBS IOPS performance. This is identified by analyzing the VolumeReadOps and VolumeWriteOps metric of EBS volumes attached to the current instance during the look-back period.     NetworkBandwidthOverprovisioned  — The instance’s network bandwidth configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the NetworkIn and NetworkOut metrics of the current instance during the look-back period.     NetworkBandwidthUnderprovisioned  — The instance’s network bandwidth configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better network bandwidth performance. This is identified by analyzing the NetworkIn and NetworkOut metrics of the current instance during the look-back period. This finding reason happens when the NetworkIn or NetworkOut performance of an instance is impacted.     NetworkPPSOverprovisioned — The instance’s network PPS (packets per second) configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the NetworkPacketsIn and NetworkPacketsIn metrics of the current instance during the look-back period.     NetworkPPSUnderprovisioned — The instance’s network PPS (packets per second) configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better network PPS performance. This is identified by analyzing the NetworkPacketsIn and NetworkPacketsIn metrics of the current instance during the look-back period.     DiskIOPSOverprovisioned — The instance’s disk IOPS configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the DiskReadOps and DiskWriteOps metrics of the current instance during the look-back period.     DiskIOPSUnderprovisioned — The instance’s disk IOPS configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better disk IOPS performance. This is identified by analyzing the DiskReadOps and DiskWriteOps metrics of the current instance during the look-back period.     DiskThroughputOverprovisioned — The instance’s disk throughput configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the DiskReadBytes and DiskWriteBytes metrics of the current instance during the look-back period.     DiskThroughputUnderprovisioned — The instance’s disk throughput configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better disk throughput performance. This is identified by analyzing the DiskReadBytes and DiskWriteBytes metrics of the current instance during the look-back period.    For more information about instance metrics, see List the available CloudWatch metrics for your instances in the Amazon Elastic Compute Cloud User Guide. For more information about EBS volume metrics, see Amazon CloudWatch metrics for Amazon EBS in the Amazon Elastic Compute Cloud User Guide.
        public let findingReasonCodes: [InstanceRecommendationFindingReasonCode]?
        ///  Describes if an Amazon EC2 instance is idle.
        public let idle: InstanceIdle?
        /// The applications that might be running on the instance as inferred by Compute Optimizer. Compute Optimizer can infer if one of the following applications might be running on the instance:    AmazonEmr - Infers that Amazon EMR might be running on the instance.    ApacheCassandra - Infers that Apache Cassandra might be running on the instance.    ApacheHadoop - Infers that Apache Hadoop might be running on the instance.    Memcached - Infers that Memcached might be running on the instance.    NGINX - Infers that NGINX might be running on the instance.    PostgreSql - Infers that PostgreSQL might be running on the instance.    Redis - Infers that Redis might be running on the instance.    Kafka - Infers that Kafka might be running on the instance.    SQLServer - Infers that SQLServer might be running on the instance.
        public let inferredWorkloadTypes: [InferredWorkloadType]?
        /// The Amazon Resource Name (ARN) of the current instance.
        public let instanceArn: String?
        /// The name of the current instance.
        public let instanceName: String?
        ///  The state of the instance when the recommendation was generated.
        public let instanceState: InstanceState?
        /// The timestamp of when the instance recommendation was last generated.
        public let lastRefreshTimestamp: Date?
        /// The number of days for which utilization metrics were analyzed for the instance.
        public let lookBackPeriodInDays: Double?
        /// An array of objects that describe the recommendation options for the instance.
        public let recommendationOptions: [InstanceRecommendationOption]?
        /// An array of objects that describe the source resource of the recommendation.
        public let recommendationSources: [RecommendationSource]?
        ///  A list of tags assigned to your Amazon EC2 instance recommendations.
        public let tags: [Tag]?
        /// An array of objects that describe the utilization metrics of the instance.
        public let utilizationMetrics: [UtilizationMetric]?

        @inlinable
        public init(accountId: String? = nil, currentInstanceGpuInfo: GpuInfo? = nil, currentInstanceType: String? = nil, currentPerformanceRisk: CurrentPerformanceRisk? = nil, effectiveRecommendationPreferences: EffectiveRecommendationPreferences? = nil, externalMetricStatus: ExternalMetricStatus? = nil, finding: Finding? = nil, findingReasonCodes: [InstanceRecommendationFindingReasonCode]? = nil, idle: InstanceIdle? = nil, inferredWorkloadTypes: [InferredWorkloadType]? = nil, instanceArn: String? = nil, instanceName: String? = nil, instanceState: InstanceState? = nil, lastRefreshTimestamp: Date? = nil, lookBackPeriodInDays: Double? = nil, recommendationOptions: [InstanceRecommendationOption]? = nil, recommendationSources: [RecommendationSource]? = nil, tags: [Tag]? = nil, utilizationMetrics: [UtilizationMetric]? = nil) {
            self.accountId = accountId
            self.currentInstanceGpuInfo = currentInstanceGpuInfo
            self.currentInstanceType = currentInstanceType
            self.currentPerformanceRisk = currentPerformanceRisk
            self.effectiveRecommendationPreferences = effectiveRecommendationPreferences
            self.externalMetricStatus = externalMetricStatus
            self.finding = finding
            self.findingReasonCodes = findingReasonCodes
            self.idle = idle
            self.inferredWorkloadTypes = inferredWorkloadTypes
            self.instanceArn = instanceArn
            self.instanceName = instanceName
            self.instanceState = instanceState
            self.lastRefreshTimestamp = lastRefreshTimestamp
            self.lookBackPeriodInDays = lookBackPeriodInDays
            self.recommendationOptions = recommendationOptions
            self.recommendationSources = recommendationSources
            self.tags = tags
            self.utilizationMetrics = utilizationMetrics
        }

        private enum CodingKeys: String, CodingKey {
            case accountId = "accountId"
            case currentInstanceGpuInfo = "currentInstanceGpuInfo"
            case currentInstanceType = "currentInstanceType"
            case currentPerformanceRisk = "currentPerformanceRisk"
            case effectiveRecommendationPreferences = "effectiveRecommendationPreferences"
            case externalMetricStatus = "externalMetricStatus"
            case finding = "finding"
            case findingReasonCodes = "findingReasonCodes"
            case idle = "idle"
            case inferredWorkloadTypes = "inferredWorkloadTypes"
            case instanceArn = "instanceArn"
            case instanceName = "instanceName"
            case instanceState = "instanceState"
            case lastRefreshTimestamp = "lastRefreshTimestamp"
            case lookBackPeriodInDays = "lookBackPeriodInDays"
            case recommendationOptions = "recommendationOptions"
            case recommendationSources = "recommendationSources"
            case tags = "tags"
            case utilizationMetrics = "utilizationMetrics"
        }
    }

    public struct InstanceRecommendationOption: AWSDecodableShape {
        ///  Describes the GPU accelerator settings for the recommended instance type.
        public let instanceGpuInfo: GpuInfo?
        /// The instance type of the instance recommendation.
        public let instanceType: String?
        /// The level of effort required to migrate from the current instance type to the recommended instance type. For example, the migration effort is Low if Amazon EMR is the inferred workload type and an Amazon Web Services Graviton instance type is recommended. The migration effort is Medium if a workload type couldn't be inferred but an Amazon Web Services Graviton instance type is recommended. The migration effort is VeryLow if both the current and recommended instance types are of the same CPU architecture.
        public let migrationEffort: MigrationEffort?
        /// The performance risk of the instance recommendation option. Performance risk indicates the likelihood of the recommended instance type not meeting the resource needs of your workload. Compute Optimizer calculates an individual performance risk score for each specification of the recommended instance, including CPU, memory, EBS throughput, EBS IOPS, disk throughput, disk IOPS, network throughput, and network PPS. The performance risk of the recommended instance is calculated as the maximum performance risk score across the analyzed resource specifications. The value ranges from 0 - 4, with 0 meaning that the recommended resource is predicted to always provide enough hardware capability. The higher the performance risk is, the more likely you should validate whether the recommendation will meet the performance requirements of your workload before migrating your resource.
        public let performanceRisk: Double?
        /// Describes the configuration differences between the current instance and the recommended instance type. You should consider the configuration differences before migrating your workloads from the current instance to the recommended instance type. The Change the instance type guide for Linux and Change the instance type guide for Windows provide general guidance for getting started with an instance migration. Platform differences include:     Hypervisor — The hypervisor of the recommended instance type is different than that of the current instance. For example, the recommended instance type uses a Nitro hypervisor and the current instance uses a Xen hypervisor. The differences that you should consider between these hypervisors are covered in the Nitro Hypervisor section of the Amazon EC2 frequently asked questions. For more information, see Instances built on the Nitro System in the Amazon EC2 User Guide for Linux, or Instances built on the Nitro System in the Amazon EC2 User Guide for Windows.     NetworkInterface — The network interface of the recommended instance type is different than that of the current instance. For example, the recommended instance type supports enhanced networking and the current instance might not. To enable enhanced networking for the recommended instance type, you must install the Elastic Network Adapter (ENA) driver or the Intel 82599 Virtual Function driver. For more information, see Networking and storage features and Enhanced networking on Linux in the Amazon EC2 User Guide for Linux, or Networking and storage features and Enhanced networking on Windows in the Amazon EC2 User Guide for Windows.     StorageInterface — The storage interface of the recommended instance type is different than that of the current instance. For example, the recommended instance type uses an NVMe storage interface and the current instance does not. To access NVMe volumes for the recommended instance type, you will need to install or upgrade the NVMe driver. For more information, see Networking and storage features and Amazon EBS and NVMe on Linux instances in the Amazon EC2 User Guide for Linux, or Networking and storage features and Amazon EBS and NVMe on Windows instances in the Amazon EC2 User Guide for Windows.     InstanceStoreAvailability — The recommended instance type does not support instance store volumes and the current instance does. Before migrating, you might need to back up the data on your instance store volumes if you want to preserve them. For more information, see How do I back up an instance store volume on my Amazon EC2 instance to Amazon EBS? in the Amazon Web Services Premium Support Knowledge Base. For more information, see Networking and storage features and Amazon EC2 instance store in the Amazon EC2 User Guide for Linux, or see Networking and storage features and Amazon EC2 instance store in the Amazon EC2 User Guide for Windows.     VirtualizationType — The recommended instance type uses the hardware virtual machine (HVM) virtualization type and the current instance uses the paravirtual (PV) virtualization type. For more information about the differences between these virtualization types, see Linux AMI virtualization types in the Amazon EC2 User Guide for Linux, or Windows AMI virtualization types in the Amazon EC2 User Guide for Windows.     Architecture — The CPU architecture between the recommended instance type and the current instance is different. For example, the recommended instance type might use an Arm CPU architecture and the current instance type might use a different one, such as x86. Before migrating, you should consider recompiling the software on your instance for the new architecture. Alternatively, you might switch to an Amazon Machine Image (AMI) that supports the new architecture. For more information about the CPU architecture for each instance type, see Amazon EC2 Instance Types.
        public let platformDifferences: [PlatformDifference]?
        /// An array of objects that describe the projected utilization metrics of the instance recommendation option.  The Cpu and Memory metrics are the only projected utilization metrics returned. Additionally, the Memory metric is returned only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling Memory Utilization with the CloudWatch Agent.
        public let projectedUtilizationMetrics: [UtilizationMetric]?
        /// The rank of the instance recommendation option. The top recommendation option is ranked as 1.
        public let rank: Int?
        /// An object that describes the savings opportunity for the instance recommendation option. Savings opportunity includes the estimated monthly savings amount and percentage.
        public let savingsOpportunity: SavingsOpportunity?
        ///  An object that describes the savings opportunity for the instance recommendation option that includes Savings Plans and Reserved Instances  discounts. Savings opportunity includes the estimated monthly savings and percentage.
        public let savingsOpportunityAfterDiscounts: InstanceSavingsOpportunityAfterDiscounts?

        @inlinable
        public init(instanceGpuInfo: GpuInfo? = nil, instanceType: String? = nil, migrationEffort: MigrationEffort? = nil, performanceRisk: Double? = nil, platformDifferences: [PlatformDifference]? = nil, projectedUtilizationMetrics: [UtilizationMetric]? = nil, rank: Int? = nil, savingsOpportunity: SavingsOpportunity? = nil, savingsOpportunityAfterDiscounts: InstanceSavingsOpportunityAfterDiscounts? = nil) {
            self.instanceGpuInfo = instanceGpuInfo
            self.instanceType = instanceType
            self.migrationEffort = migrationEffort
            self.performanceRisk = performanceRisk
            self.platformDifferences = platformDifferences
            self.projectedUtilizationMetrics = projectedUtilizationMetrics
            self.rank = rank
            self.savingsOpportunity = savingsOpportunity
            self.savingsOpportunityAfterDiscounts = savingsOpportunityAfterDiscounts
        }

        private enum CodingKeys: String, CodingKey {
            case instanceGpuInfo = "instanceGpuInfo"
            case instanceType = "instanceType"
            case migrationEffort = "migrationEffort"
            case performanceRisk = "performanceRisk"
            case platformDifferences = "platformDifferences"
            case projectedUtilizationMetrics = "projectedUtilizationMetrics"
            case rank = "rank"
            case savingsOpportunity = "savingsOpportunity"
            case savingsOpportunityAfterDiscounts = "savingsOpportunityAfterDiscounts"
        }
    }

    public struct InstanceSavingsEstimationMode: AWSDecodableShape {
        ///  Describes the source for calculating the savings opportunity for Amazon EC2 instances.
        public let source: InstanceSavingsEstimationModeSource?

        @inlinable
        public init(source: InstanceSavingsEstimationModeSource? = nil) {
            self.source = source
        }

        private enum CodingKeys: String, CodingKey {
            case source = "source"
        }
    }

    public struct InstanceSavingsOpportunityAfterDiscounts: AWSDecodableShape {
        ///  An object that describes the estimated monthly savings possible by adopting Compute Optimizer’s Amazon EC2 instance recommendations. This is  based on pricing after applying the Savings Plans and Reserved Instances discounts.
        public let estimatedMonthlySavings: InstanceEstimatedMonthlySavings?
        ///  The estimated monthly savings possible as a percentage of monthly cost after applying the Savings Plans and Reserved Instances discounts.  This saving can be achieved by adopting Compute Optimizer’s EC2 instance recommendations.
        public let savingsOpportunityPercentage: Double?

        @inlinable
        public init(estimatedMonthlySavings: InstanceEstimatedMonthlySavings? = nil, savingsOpportunityPercentage: Double? = nil) {
            self.estimatedMonthlySavings = estimatedMonthlySavings
            self.savingsOpportunityPercentage = savingsOpportunityPercentage
        }

        private enum CodingKeys: String, CodingKey {
            case estimatedMonthlySavings = "estimatedMonthlySavings"
            case savingsOpportunityPercentage = "savingsOpportunityPercentage"
        }
    }

    public struct JobFilter: AWSEncodableShape {
        /// The name of the filter. Specify ResourceType to return export jobs of a specific resource type (for example, Ec2Instance). Specify JobStatus to return export jobs with a specific status (e.g, Complete).
        public let name: JobFilterName?
        /// The value of the filter. The valid values for this parameter are as follows, depending on what you specify for the name parameter:   Specify Ec2Instance or AutoScalingGroup if you specify the name parameter as ResourceType. There is no filter for EBS volumes because volume recommendations cannot be exported at this time.   Specify Queued, InProgress, Complete, or Failed if you specify the name parameter as JobStatus.
        public let values: [String]?

        @inlinable
        public init(name: JobFilterName? = nil, values: [String]? = nil) {
            self.name = name
            self.values = values
        }

        private enum CodingKeys: String, CodingKey {
            case name = "name"
            case values = "values"
        }
    }

    public struct LambdaEffectiveRecommendationPreferences: AWSDecodableShape {
        ///  Describes the savings estimation mode applied for calculating savings opportunity for Lambda functions.
        public let savingsEstimationMode: LambdaSavingsEstimationMode?

        @inlinable
        public init(savingsEstimationMode: LambdaSavingsEstimationMode? = nil) {
            self.savingsEstimationMode = savingsEstimationMode
        }

        private enum CodingKeys: String, CodingKey {
            case savingsEstimationMode = "savingsEstimationMode"
        }
    }

    public struct LambdaEstimatedMonthlySavings: AWSDecodableShape {
        ///  The currency of the estimated monthly savings.
        public let currency: Currency?
        ///  The value of the estimated monthly savings.
        public let value: Double?

        @inlinable
        public init(currency: Currency? = nil, value: Double? = nil) {
            self.currency = currency
            self.value = value
        }

        private enum CodingKeys: String, CodingKey {
            case currency = "currency"
            case value = "value"
        }
    }

    public struct LambdaFunctionMemoryProjectedMetric: AWSDecodableShape {
        /// The name of the projected utilization metric.
        public let name: LambdaFunctionMemoryMetricName?
        /// The statistic of the projected utilization metric.
        public let statistic: LambdaFunctionMemoryMetricStatistic?
        /// The values of the projected utilization metrics.
        public let value: Double?

        @inlinable
        public init(name: LambdaFunctionMemoryMetricName? = nil, statistic: LambdaFunctionMemoryMetricStatistic? = nil, value: Double? = nil) {
            self.name = name
            self.statistic = statistic
            self.value = value
        }

        private enum CodingKeys: String, CodingKey {
            case name = "name"
            case statistic = "statistic"
            case value = "value"
        }
    }

    public struct LambdaFunctionMemoryRecommendationOption: AWSDecodableShape {
        /// The memory size, in MB, of the function recommendation option.
        public let memorySize: Int?
        /// An array of objects that describe the projected utilization metrics of the function recommendation option.
        public let projectedUtilizationMetrics: [LambdaFunctionMemoryProjectedMetric]?
        /// The rank of the function recommendation option. The top recommendation option is ranked as 1.
        public let rank: Int?
        /// An object that describes the savings opportunity for the Lambda function recommendation option. Savings opportunity includes the estimated monthly savings amount and percentage.
        public let savingsOpportunity: SavingsOpportunity?
        ///  An object that describes the savings opportunity for the Lambda recommendation option which includes Saving Plans  discounts. Savings opportunity includes the estimated monthly savings and percentage.
        public let savingsOpportunityAfterDiscounts: LambdaSavingsOpportunityAfterDiscounts?

        @inlinable
        public init(memorySize: Int? = nil, projectedUtilizationMetrics: [LambdaFunctionMemoryProjectedMetric]? = nil, rank: Int? = nil, savingsOpportunity: SavingsOpportunity? = nil, savingsOpportunityAfterDiscounts: LambdaSavingsOpportunityAfterDiscounts? = nil) {
            self.memorySize = memorySize
            self.projectedUtilizationMetrics = projectedUtilizationMetrics
            self.rank = rank
            self.savingsOpportunity = savingsOpportunity
            self.savingsOpportunityAfterDiscounts = savingsOpportunityAfterDiscounts
        }

        private enum CodingKeys: String, CodingKey {
            case memorySize = "memorySize"
            case projectedUtilizationMetrics = "projectedUtilizationMetrics"
            case rank = "rank"
            case savingsOpportunity = "savingsOpportunity"
            case savingsOpportunityAfterDiscounts = "savingsOpportunityAfterDiscounts"
        }
    }

    public struct LambdaFunctionRecommendation: AWSDecodableShape {
        /// The Amazon Web Services account ID of the function.
        public let accountId: String?
        /// The amount of memory, in MB, that's allocated to the current function.
        public let currentMemorySize: Int?
        /// The risk of the current Lambda function not meeting the performance needs of its workloads. The higher the risk, the more likely the current Lambda function requires more memory.
        public let currentPerformanceRisk: CurrentPerformanceRisk?
        ///  Describes the effective recommendation preferences for Lambda functions.
        public let effectiveRecommendationPreferences: LambdaEffectiveRecommendationPreferences?
        /// The finding classification of the function. Findings for functions include:     Optimized — The function is correctly provisioned to run your workload based on its current configuration and its utilization history. This finding classification does not include finding reason codes.     NotOptimized — The function is performing at a higher level (over-provisioned) or at a lower level (under-provisioned) than required for your workload because its current configuration is not optimal. Over-provisioned resources might lead to unnecessary infrastructure cost, and under-provisioned resources might lead to poor application performance. This finding classification can include the MemoryUnderprovisioned and MemoryUnderprovisioned finding reason codes.     Unavailable — Compute Optimizer was unable to generate a recommendation for the function. This could be because the function has not accumulated sufficient metric data, or the function does not qualify for a recommendation. This finding classification can include the InsufficientData and Inconclusive finding reason codes.  Functions with a finding of unavailable are not returned unless you specify the filter parameter with a value of Unavailable in your GetLambdaFunctionRecommendations request.
        public let finding: LambdaFunctionRecommendationFinding?
        /// The reason for the finding classification of the function.  Functions that have a finding classification of Optimized don't have a finding reason code.  Finding reason codes for functions include:     MemoryOverprovisioned — The function is over-provisioned when its memory configuration can be sized down while still meeting the performance requirements of your workload. An over-provisioned function might lead to unnecessary infrastructure cost. This finding reason code is part of the NotOptimized finding classification.     MemoryUnderprovisioned — The function is under-provisioned when its memory configuration doesn't meet the performance requirements of the workload. An under-provisioned function might lead to poor application performance. This finding reason code is part of the NotOptimized finding classification.     InsufficientData — The function does not have sufficient metric data for Compute Optimizer to generate a recommendation. For more information, see the Supported resources and requirements in the Compute Optimizer User Guide. This finding reason code is part of the Unavailable finding classification.     Inconclusive — The function does not qualify for a recommendation because Compute Optimizer cannot generate a recommendation with a high degree of confidence. This finding reason code is part of the Unavailable finding classification.
        public let findingReasonCodes: [LambdaFunctionRecommendationFindingReasonCode]?
        /// The Amazon Resource Name (ARN) of the current function.
        public let functionArn: String?
        /// The version number of the current function.
        public let functionVersion: String?
        /// The timestamp of when the function recommendation was last generated.
        public let lastRefreshTimestamp: Date?
        /// The number of days for which utilization metrics were analyzed for the function.
        public let lookbackPeriodInDays: Double?
        /// An array of objects that describe the memory configuration recommendation options for the function.
        public let memorySizeRecommendationOptions: [LambdaFunctionMemoryRecommendationOption]?
        /// The number of times your function code was applied during the look-back period.
        public let numberOfInvocations: Int64?
        ///  A list of tags assigned to your Lambda function recommendations.
        public let tags: [Tag]?
        /// An array of objects that describe the utilization metrics of the function.
        public let utilizationMetrics: [LambdaFunctionUtilizationMetric]?

        @inlinable
        public init(accountId: String? = nil, currentMemorySize: Int? = nil, currentPerformanceRisk: CurrentPerformanceRisk? = nil, effectiveRecommendationPreferences: LambdaEffectiveRecommendationPreferences? = nil, finding: LambdaFunctionRecommendationFinding? = nil, findingReasonCodes: [LambdaFunctionRecommendationFindingReasonCode]? = nil, functionArn: String? = nil, functionVersion: String? = nil, lastRefreshTimestamp: Date? = nil, lookbackPeriodInDays: Double? = nil, memorySizeRecommendationOptions: [LambdaFunctionMemoryRecommendationOption]? = nil, numberOfInvocations: Int64? = nil, tags: [Tag]? = nil, utilizationMetrics: [LambdaFunctionUtilizationMetric]? = nil) {
            self.accountId = accountId
            self.currentMemorySize = currentMemorySize
            self.currentPerformanceRisk = currentPerformanceRisk
            self.effectiveRecommendationPreferences = effectiveRecommendationPreferences
            self.finding = finding
            self.findingReasonCodes = findingReasonCodes
            self.functionArn = functionArn
            self.functionVersion = functionVersion
            self.lastRefreshTimestamp = lastRefreshTimestamp
            self.lookbackPeriodInDays = lookbackPeriodInDays
            self.memorySizeRecommendationOptions = memorySizeRecommendationOptions
            self.numberOfInvocations = numberOfInvocations
            self.tags = tags
            self.utilizationMetrics = utilizationMetrics
        }

        private enum CodingKeys: String, CodingKey {
            case accountId = "accountId"
            case currentMemorySize = "currentMemorySize"
            case currentPerformanceRisk = "currentPerformanceRisk"
            case effectiveRecommendationPreferences = "effectiveRecommendationPreferences"
            case finding = "finding"
            case findingReasonCodes = "findingReasonCodes"
            case functionArn = "functionArn"
            case functionVersion = "functionVersion"
            case lastRefreshTimestamp = "lastRefreshTimestamp"
            case lookbackPeriodInDays = "lookbackPeriodInDays"
            case memorySizeRecommendationOptions = "memorySizeRecommendationOptions"
            case numberOfInvocations = "numberOfInvocations"
            case tags = "tags"
            case utilizationMetrics = "utilizationMetrics"
        }
    }

    public struct LambdaFunctionRecommendationFilter: AWSEncodableShape {
        /// The name of the filter. Specify Finding to return recommendations with a specific finding classification (for example, NotOptimized). Specify FindingReasonCode to return recommendations with a specific finding reason code (for example, MemoryUnderprovisioned). You can filter your Lambda function recommendations by tag:key  and tag-key tags. A tag:key is a key and value combination of a tag assigned to your  Lambda function recommendations. Use the tag key in the filter name and the tag value  as the filter value. For example, to find all Lambda function recommendations that have  a tag with the key of Owner and the value of TeamA,  specify tag:Owner for the filter name and TeamA for the filter value. A tag-key is the key of a tag assigned to your Lambda function recommendations. Use  this filter to find all of your Lambda function recommendations that have a tag with a  specific key. This doesn’t consider the tag value. For example, you can find  your Lambda function recommendations with a tag key value of Owner or without any tag  keys assigned.
        public let name: LambdaFunctionRecommendationFilterName?
        /// The value of the filter. The valid values for this parameter are as follows, depending on what you specify for the name parameter:   Specify Optimized, NotOptimized, or Unavailable if you specify the name parameter as Finding.   Specify MemoryOverprovisioned, MemoryUnderprovisioned, InsufficientData, or Inconclusive if you specify the name parameter as FindingReasonCode.
        public let values: [String]?

        @inlinable
        public init(name: LambdaFunctionRecommendationFilterName? = nil, values: [String]? = nil) {
            self.name = name
            self.values = values
        }

        private enum CodingKeys: String, CodingKey {
            case name = "name"
            case values = "values"
        }
    }

    public struct LambdaFunctionUtilizationMetric: AWSDecodableShape {
        /// The name of the utilization metric. The following utilization metrics are available:    Duration - The amount of time that your function code spends processing an event.    Memory - The amount of memory used per invocation.
        public let name: LambdaFunctionMetricName?
        /// The statistic of the utilization metric. The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the Maximum statistic, which is the highest value observed during the specified period. The Compute Optimizer console displays graphs for some utilization metrics using the Average statistic, which is the value of Sum / SampleCount during the specified period. For more information, see Viewing resource recommendations in the Compute Optimizer User Guide. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the Amazon CloudWatch User Guide.
        public let statistic: LambdaFunctionMetricStatistic?
        /// The value of the utilization metric.
        public let value: Double?

        @inlinable
        public init(name: LambdaFunctionMetricName? = nil, statistic: LambdaFunctionMetricStatistic? = nil, value: Double? = nil) {
            self.name = name
            self.statistic = statistic
            self.value = value
        }

        private enum CodingKeys: String, CodingKey {
            case name = "name"
            case statistic = "statistic"
            case value = "value"
        }
    }

    public struct LambdaSavingsEstimationMode: AWSDecodableShape {
        ///  Describes the source for calculation of savings opportunity for Lambda functions.
        public let source: LambdaSavingsEstimationModeSource?

        @inlinable
        public init(source: LambdaSavingsEstimationModeSource? = nil) {
            self.source = source
        }

        private enum CodingKeys: String, CodingKey {
            case source = "source"
        }
    }

    public struct LambdaSavingsOpportunityAfterDiscounts: AWSDecodableShape {
        ///  The estimated monthly savings possible by adopting Compute Optimizer’s Lambda function recommendations. This  includes any applicable Savings Plans discounts.
        public let estimatedMonthlySavings: LambdaEstimatedMonthlySavings?
        ///  The estimated monthly savings possible as a percentage of monthly cost by adopting Compute Optimizer’s Lambda  function recommendations. This includes any applicable Savings Plans discounts.
        public let savingsOpportunityPercentage: Double?

        @inlinable
        public init(estimatedMonthlySavings: LambdaEstimatedMonthlySavings? = nil, savingsOpportunityPercentage: Double? = nil) {
            self.estimatedMonthlySavings = estimatedMonthlySavings
            self.savingsOpportunityPercentage = savingsOpportunityPercentage
        }

        private enum CodingKeys: String, CodingKey {
            case estimatedMonthlySavings = "estimatedMonthlySavings"
            case savingsOpportunityPercentage = "savingsOpportunityPercentage"
        }
    }

    public struct LicenseConfiguration: AWSDecodableShape {
        ///  The instance type used in the license.
        public let instanceType: String?
        ///  The edition of the license for the application that runs on the instance.
        public let licenseEdition: LicenseEdition?
        ///  The license type associated with the instance.
        public let licenseModel: LicenseModel?
        ///  The name of the license for the application that runs on the instance.
        public let licenseName: LicenseName?
        ///  The version of the license for the application that runs on the instance.
        public let licenseVersion: String?
        ///  The list of metric sources required to generate recommendations for commercial software licenses.
        public let metricsSource: [MetricSource]?
        ///  The current number of cores associated with the instance.
        public let numberOfCores: Int?
        ///  The operating system of the instance.
        public let operatingSystem: String?

        @inlinable
        public init(instanceType: String? = nil, licenseEdition: LicenseEdition? = nil, licenseModel: LicenseModel? = nil, licenseName: LicenseName? = nil, licenseVersion: String? = nil, metricsSource: [MetricSource]? = nil, numberOfCores: Int? = nil, operatingSystem: String? = nil) {
            self.instanceType = instanceType
            self.licenseEdition = licenseEdition
            self.licenseModel = licenseModel
            self.licenseName = licenseName
            self.licenseVersion = licenseVersion
            self.metricsSource = metricsSource
            self.numberOfCores = numberOfCores
            self.operatingSystem = operatingSystem
        }

        private enum CodingKeys: String, CodingKey {
            case instanceType = "instanceType"
            case licenseEdition = "licenseEdition"
            case licenseModel = "licenseModel"
            case licenseName = "licenseName"
            case licenseVersion = "licenseVersion"
            case metricsSource = "metricsSource"
            case numberOfCores = "numberOfCores"
            case operatingSystem = "operatingSystem"
        }
    }

    public struct LicenseRecommendation: AWSDecodableShape {
        ///  The Amazon Web Services account ID of the license.
        public let accountId: String?
        ///  An object that describes the current configuration of an instance that runs on a license.
        public let currentLicenseConfiguration: LicenseConfiguration?
        ///  The finding classification for an instance that runs on a license.  Findings include:    InsufficentMetrics — When Compute Optimizer detects that your CloudWatch Application Insights isn't enabled or is enabled with insufficient permissions.     NotOptimized — When Compute Optimizer detects that your EC2 infrastructure  isn't using any of the SQL server license features you're paying for, a license is considered  not optimized.    Optimized — When Compute Optimizer detects that all specifications of your  license meet the performance requirements of your workload.
        public let finding: LicenseFinding?
        ///  The reason for the finding classification for an instance that runs on a license.  Finding reason codes include:    Optimized — All specifications of your  license meet the performance requirements of your workload.     LicenseOverprovisioned — A license is considered over-provisioned when your license can be  downgraded while still meeting the performance requirements of your workload.    InvalidCloudwatchApplicationInsights — CloudWatch Application Insights isn't configured properly.    CloudwatchApplicationInsightsError — There is a CloudWatch Application Insights error.
        public let findingReasonCodes: [LicenseFindingReasonCode]?
        ///  The timestamp of when the license recommendation was last generated.
        public let lastRefreshTimestamp: Date?
        ///  An array of objects that describe the license recommendation options.
        public let licenseRecommendationOptions: [LicenseRecommendationOption]?
        ///  The number of days for which utilization metrics were analyzed for an instance that runs on a license.
        public let lookbackPeriodInDays: Double?
        ///  The ARN that identifies the Amazon EC2 instance.
        public let resourceArn: String?
        ///  A list of tags assigned to an EC2 instance.
        public let tags: [Tag]?

        @inlinable
        public init(accountId: String? = nil, currentLicenseConfiguration: LicenseConfiguration? = nil, finding: LicenseFinding? = nil, findingReasonCodes: [LicenseFindingReasonCode]? = nil, lastRefreshTimestamp: Date? = nil, licenseRecommendationOptions: [LicenseRecommendationOption]? = nil, lookbackPeriodInDays: Double? = nil, resourceArn: String? = nil, tags: [Tag]? = nil) {
            self.accountId = accountId
            self.currentLicenseConfiguration = currentLicenseConfiguration
            self.finding = finding
            self.findingReasonCodes = findingReasonCodes
            self.lastRefreshTimestamp = lastRefreshTimestamp
            self.licenseRecommendationOptions = licenseRecommendationOptions
            self.lookbackPeriodInDays = lookbackPeriodInDays
            self.resourceArn = resourceArn
            self.tags = tags
        }

        private enum CodingKeys: String, CodingKey {
            case accountId = "accountId"
            case currentLicenseConfiguration = "currentLicenseConfiguration"
            case finding = "finding"
            case findingReasonCodes = "findingReasonCodes"
            case lastRefreshTimestamp = "lastRefreshTimestamp"
            case licenseRecommendationOptions = "licenseRecommendationOptions"
            case lookbackPeriodInDays = "lookbackPeriodInDays"
            case resourceArn = "resourceArn"
            case tags = "tags"
        }
    }

    public struct LicenseRecommendationFilter: AWSEncodableShape {
        /// The name of the filter. Specify Finding to return recommendations with a specific finding classification. Specify FindingReasonCode to return recommendations with a specific finding reason code. You can filter your license recommendations by tag:key  and tag-key tags. A tag:key is a key and value combination of a tag assigned to your  license recommendations. Use the tag key in the filter name and the tag value  as the filter value. For example, to find all license recommendations that have  a tag with the key of Owner and the value of TeamA,  specify tag:Owner for the filter name and TeamA for the filter value. A tag-key is the key of a tag assigned to your license recommendations. Use  this filter to find all of your license recommendations that have a tag with a  specific key. This doesn’t consider the tag value. For example, you can find  your license recommendations with a tag key value of Owner or without any tag  keys assigned.
        public let name: LicenseRecommendationFilterName?
        /// The value of the filter. The valid values for this parameter are as follows, depending on what you specify for the name parameter:   If you specify the name parameter as Finding, then specify Optimized, NotOptimized, or InsufficentMetrics.   If you specify the name parameter as FindingReasonCode, then specify Optimized, LicenseOverprovisioned, InvalidCloudwatchApplicationInsights, or CloudwatchApplicationInsightsError.
        public let values: [String]?

        @inlinable
        public init(name: LicenseRecommendationFilterName? = nil, values: [String]? = nil) {
            self.name = name
            self.values = values
        }

        private enum CodingKeys: String, CodingKey {
            case name = "name"
            case values = "values"
        }
    }

    public struct LicenseRecommendationOption: AWSDecodableShape {
        ///  The recommended edition of the license for the application that runs on the instance.
        public let licenseEdition: LicenseEdition?
        ///  The recommended license type associated with the instance.
        public let licenseModel: LicenseModel?
        ///  The operating system of a license recommendation option.
        public let operatingSystem: String?
        ///  The rank of the license recommendation option.   The top recommendation option is ranked as 1.
        public let rank: Int?
        public let savingsOpportunity: SavingsOpportunity?

        @inlinable
        public init(licenseEdition: LicenseEdition? = nil, licenseModel: LicenseModel? = nil, operatingSystem: String? = nil, rank: Int? = nil, savingsOpportunity: SavingsOpportunity? = nil) {
            self.licenseEdition = licenseEdition
            self.licenseModel = licenseModel
            self.operatingSystem = operatingSystem
            self.rank = rank
            self.savingsOpportunity = savingsOpportunity
        }

        private enum CodingKeys: String, CodingKey {
            case licenseEdition = "licenseEdition"
            case licenseModel = "licenseModel"
            case operatingSystem = "operatingSystem"
            case rank = "rank"
            case savingsOpportunity = "savingsOpportunity"
        }
    }

    public struct MemorySizeConfiguration: AWSDecodableShape {
        ///  The amount of memory in the container.
        public let memory: Int?
        ///  The limit of memory reserve for the container.
        public let memoryReservation: Int?

        @inlinable
        public init(memory: Int? = nil, memoryReservation: Int? = nil) {
            self.memory = memory
            self.memoryReservation = memoryReservation
        }

        private enum CodingKeys: String, CodingKey {
            case memory = "memory"
            case memoryReservation = "memoryReservation"
        }
    }

    public struct MetricSource: AWSDecodableShape {
        ///  The name of the metric source provider.
        public let provider: MetricSourceProvider?
        ///  The ARN of the metric source provider.
        public let providerArn: String?

        @inlinable
        public init(provider: MetricSourceProvider? = nil, providerArn: String? = nil) {
            self.provider = provider
            self.providerArn = providerArn
        }

        private enum CodingKeys: String, CodingKey {
            case provider = "provider"
            case providerArn = "providerArn"
        }
    }

    public struct OrderBy: AWSEncodableShape {
        /// The dimension values to sort the recommendations.
        public let dimension: Dimension?
        /// The order to sort the recommendations.
        public let order: Order?

        @inlinable
        public init(dimension: Dimension? = nil, order: Order? = nil) {
            self.dimension = dimension
            self.order = order
        }

        private enum CodingKeys: String, CodingKey {
            case dimension = "dimension"
            case order = "order"
        }
    }

    public struct PreferredResource: AWSEncodableShape {
        ///  The preferred resource type values to exclude from the recommendation candidates. If this isn’t specified, all supported  resources are included by default. You can specify up to 1000 values in this list.
        public let excludeList: [String]?
        ///  The preferred resource type values to include in the recommendation candidates. You can specify the exact resource type value,  such as m5.large, or use wild card expressions, such as m5. If this isn’t specified, all supported resources are included by default.  You can specify up to 1000 values in this list.
        public let includeList: [String]?
        ///  The type of preferred resource to customize.   Compute Optimizer only supports the customization of Ec2InstanceTypes.
        public let name: PreferredResourceName?

        @inlinable
        public init(excludeList: [String]? = nil, includeList: [String]? = nil, name: PreferredResourceName? = nil) {
            self.excludeList = excludeList
            self.includeList = includeList
            self.name = name
        }

        private enum CodingKeys: String, CodingKey {
            case excludeList = "excludeList"
            case includeList = "includeList"
            case name = "name"
        }
    }

    public struct ProjectedMetric: AWSDecodableShape {
        /// The name of the projected utilization metric. The following projected utilization metrics are returned:    Cpu - The projected percentage of allocated EC2 compute units that would be in use on the recommendation option had you used that resource during the analyzed period. This metric identifies the processing power required to run an application on the recommendation option. Depending on the instance type, tools in your operating system can show a lower percentage than CloudWatch when the instance is not allocated a full processor core.    Memory - The percentage of memory that would be in use on the recommendation option had you used that resource during the analyzed period. This metric identifies the amount of memory required to run an application on the recommendation option. Units: Percent  The Memory metric is only returned for resources with the unified CloudWatch agent installed on them. For more information, see Enabling Memory Utilization with the CloudWatch Agent.     GPU - The projected percentage of allocated GPUs if you adjust your configurations to Compute Optimizer's recommendation option.    GPU_MEMORY - The projected percentage of total GPU memory if you adjust your configurations to Compute Optimizer's recommendation option.  The GPU and GPU_MEMORY metrics are only returned for resources  with the unified CloudWatch Agent installed on them. For more information, see  Enabling NVIDIA GPU  utilization with the CloudWatch Agent.
        public let name: MetricName?
        /// The timestamps of the projected utilization metric.
        public let timestamps: [Date]?
        /// The values of the projected utilization metrics.
        public let values: [Double]?

        @inlinable
        public init(name: MetricName? = nil, timestamps: [Date]? = nil, values: [Double]? = nil) {
            self.name = name
            self.timestamps = timestamps
            self.values = values
        }

        private enum CodingKeys: String, CodingKey {
            case name = "name"
            case timestamps = "timestamps"
            case values = "values"
        }
    }

    public struct PutRecommendationPreferencesRequest: AWSEncodableShape {
        /// The status of the enhanced infrastructure metrics recommendation preference to create or update. Specify the Active status to activate the preference, or specify Inactive to deactivate the preference. For more information, see Enhanced infrastructure metrics in the Compute Optimizer User Guide.
        public let enhancedInfrastructureMetrics: EnhancedInfrastructureMetrics?
        /// The provider of the external metrics recommendation preference to create or update. Specify a valid provider in the source field to activate the preference. To delete this preference, see the DeleteRecommendationPreferences action. This preference can only be set for the Ec2Instance resource type. For more information, see External metrics ingestion in the Compute Optimizer User Guide.
        public let externalMetricsPreference: ExternalMetricsPreference?
        /// The status of the inferred workload types recommendation preference to create or update.  The inferred workload type feature is active by default. To deactivate it, create a recommendation preference.  Specify the Inactive status to deactivate the feature, or specify Active to activate it. For more information, see Inferred workload types in the Compute Optimizer User Guide.
        public let inferredWorkloadTypes: InferredWorkloadTypesPreference?
        ///  The preference to control the number of days the utilization metrics of the Amazon Web Services resource are analyzed.  When this preference isn't specified, we use the default value DAYS_14.  You can only set this preference for the Amazon EC2 instance and Auto Scaling group resource types.     Amazon EC2 instance lookback preferences can be set at the organization, account, and resource levels.   Auto Scaling group lookback preferences can only be set at the resource level.
        public let lookBackPeriod: LookBackPeriodPreference?
        ///  The preference to control which resource type values are considered when generating rightsizing recommendations.  You can specify this preference as a combination of include and exclude lists. You must specify either an  includeList or excludeList. If the preference is an empty set of resource type values,  an error occurs.   You can only set this preference for the Amazon EC2 instance and Auto Scaling group resource types.
        public let preferredResources: [PreferredResource]?
        /// The target resource type of the recommendation preference to create. The Ec2Instance option encompasses standalone instances and instances that are part of Auto Scaling groups. The AutoScalingGroup option encompasses only instances that are part of an Auto Scaling group.
        public let resourceType: ResourceType
        ///  The status of the savings estimation mode preference to create or update.  Specify the AfterDiscounts status to activate the preference, or specify BeforeDiscounts to deactivate the preference. Only the account manager or delegated administrator of your organization can activate this preference. For more information, see  Savings estimation mode in the Compute Optimizer User Guide.
        public let savingsEstimationMode: SavingsEstimationMode?
        /// An object that describes the scope of the recommendation preference to create. You can create recommendation preferences at the organization level (for management accounts of an organization only), account level, and resource level. For more information, see Activating enhanced infrastructure metrics in the Compute Optimizer User Guide.  You cannot create recommendation preferences for Auto Scaling groups at the organization and account levels. You can create recommendation preferences for Auto Scaling groups only at the resource level by specifying a scope name of ResourceArn and a scope value of the Auto Scaling group Amazon Resource Name (ARN). This will configure the preference for all instances that are part of the specified Auto Scaling group. You also cannot create recommendation preferences at the resource level for instances that are part of an Auto Scaling group. You can create recommendation preferences at the resource level only for standalone instances.
        public let scope: Scope?
        ///  The preference to control the resource’s CPU utilization threshold, CPU utilization headroom, and memory utilization headroom. When this  preference isn't specified, we use the following default values.  CPU utilization:    P99_5 for threshold    PERCENT_20 for headroom   Memory utilization:    PERCENT_20 for headroom      You can only set CPU and memory utilization preferences for the Amazon EC2 instance resource type.   The threshold setting isn’t available for memory utilization.
        public let utilizationPreferences: [UtilizationPreference]?

        @inlinable
        public init(enhancedInfrastructureMetrics: EnhancedInfrastructureMetrics? = nil, externalMetricsPreference: ExternalMetricsPreference? = nil, inferredWorkloadTypes: InferredWorkloadTypesPreference? = nil, lookBackPeriod: LookBackPeriodPreference? = nil, preferredResources: [PreferredResource]? = nil, resourceType: ResourceType, savingsEstimationMode: SavingsEstimationMode? = nil, scope: Scope? = nil, utilizationPreferences: [UtilizationPreference]? = nil) {
            self.enhancedInfrastructureMetrics = enhancedInfrastructureMetrics
            self.externalMetricsPreference = externalMetricsPreference
            self.inferredWorkloadTypes = inferredWorkloadTypes
            self.lookBackPeriod = lookBackPeriod
            self.preferredResources = preferredResources
            self.resourceType = resourceType
            self.savingsEstimationMode = savingsEstimationMode
            self.scope = scope
            self.utilizationPreferences = utilizationPreferences
        }

        private enum CodingKeys: String, CodingKey {
            case enhancedInfrastructureMetrics = "enhancedInfrastructureMetrics"
            case externalMetricsPreference = "externalMetricsPreference"
            case inferredWorkloadTypes = "inferredWorkloadTypes"
            case lookBackPeriod = "lookBackPeriod"
            case preferredResources = "preferredResources"
            case resourceType = "resourceType"
            case savingsEstimationMode = "savingsEstimationMode"
            case scope = "scope"
            case utilizationPreferences = "utilizationPreferences"
        }
    }

    public struct PutRecommendationPreferencesResponse: AWSDecodableShape {
        public init() {}
    }

    public struct RDSDBInstanceRecommendationOption: AWSDecodableShape {
        ///  Describes the DB instance class recommendation option for your Amazon Aurora or RDS database.
        public let dbInstanceClass: String?
        ///  The performance risk of the DB instance recommendation option.
        public let performanceRisk: Double?
        ///  An array of objects that describe the projected utilization metrics of the DB instance recommendation option.
        public let projectedUtilizationMetrics: [RDSDBUtilizationMetric]?
        ///  The rank identifier of the DB instance recommendation option.
        public let rank: Int?
        public let savingsOpportunity: SavingsOpportunity?
        ///  Describes the savings opportunity for Amazon Aurora and RDS database recommendations or for the recommendation option.  Savings opportunity represents the estimated monthly savings after applying Savings Plans discounts.  You can achieve this by implementing a given Compute Optimizer recommendation.
        public let savingsOpportunityAfterDiscounts: RDSInstanceSavingsOpportunityAfterDiscounts?

        @inlinable
        public init(dbInstanceClass: String? = nil, performanceRisk: Double? = nil, projectedUtilizationMetrics: [RDSDBUtilizationMetric]? = nil, rank: Int? = nil, savingsOpportunity: SavingsOpportunity? = nil, savingsOpportunityAfterDiscounts: RDSInstanceSavingsOpportunityAfterDiscounts? = nil) {
            self.dbInstanceClass = dbInstanceClass
            self.performanceRisk = performanceRisk
            self.projectedUtilizationMetrics = projectedUtilizationMetrics
            self.rank = rank
            self.savingsOpportunity = savingsOpportunity
            self.savingsOpportunityAfterDiscounts = savingsOpportunityAfterDiscounts
        }

        private enum CodingKeys: String, CodingKey {
            case dbInstanceClass = "dbInstanceClass"
            case performanceRisk = "performanceRisk"
            case projectedUtilizationMetrics = "projectedUtilizationMetrics"
            case rank = "rank"
            case savingsOpportunity = "savingsOpportunity"
            case savingsOpportunityAfterDiscounts = "savingsOpportunityAfterDiscounts"
        }
    }

    public struct RDSDBRecommendation: AWSDecodableShape {
        ///  The Amazon Web Services account ID of the Amazon Aurora or RDS database.
        public let accountId: String?
        ///  The DB instance class of the current Aurora or RDS DB instance.
        public let currentDBInstanceClass: String?
        /// The performance risk for the current DB instance.
        public let currentInstancePerformanceRisk: RDSCurrentInstancePerformanceRisk?
        ///  The configuration of the current DB storage.
        public let currentStorageConfiguration: DBStorageConfiguration?
        ///  The level of variation in monthly I/O costs for the current DB storage configuration.
        public let currentStorageEstimatedMonthlyVolumeIOPsCostVariation: RDSEstimatedMonthlyVolumeIOPsCostVariation?
        /// The identifier for DB cluster.
        public let dbClusterIdentifier: String?
        ///  Describes the effective recommendation preferences for DB instances.
        public let effectiveRecommendationPreferences: RDSEffectiveRecommendationPreferences?
        ///  The engine of the DB instance.
        public let engine: String?
        ///  The database engine version.
        public let engineVersion: String?
        ///  This indicates if the DB instance is idle or not.
        public let idle: Idle?
        ///  The finding classification of an Amazon Aurora and RDS DB instance.  For more information about finding classifications, see  Finding classifications for Aurora and RDS databases in the Compute Optimizer User Guide.
        public let instanceFinding: RDSInstanceFinding?
        ///  The reason for the finding classification of a DB instance.
        public let instanceFindingReasonCodes: [RDSInstanceFindingReasonCode]?
        ///  An array of objects that describe the recommendation options for the RDS DB instance.
        public let instanceRecommendationOptions: [RDSDBInstanceRecommendationOption]?
        ///  The timestamp of when the DB instance recommendation was last generated.
        public let lastRefreshTimestamp: Date?
        ///  The number of days the DB instance utilization metrics were analyzed.
        public let lookbackPeriodInDays: Double?
        /// The promotion tier for the Aurora instance.
        public let promotionTier: Int?
        ///  The ARN of the current Amazon Aurora or RDS database.   The following is the format of the ARN:   arn:aws:rds:{region}:{accountId}:db:{resourceName}
        public let resourceArn: String?
        ///  The finding classification of Amazon RDS DB instance storage.  For more information about finding classifications, see  Finding classifications for Aurora and RDS databases in the Compute Optimizer User Guide.
        public let storageFinding: RDSStorageFinding?
        ///  The reason for the finding classification of RDS DB instance storage.
        public let storageFindingReasonCodes: [RDSStorageFindingReasonCode]?
        ///  An array of objects that describe the recommendation options for DB instance storage.
        public let storageRecommendationOptions: [RDSDBStorageRecommendationOption]?
        ///  A list of tags assigned to your DB instance recommendations.
        public let tags: [Tag]?
        ///  An array of objects that describe the utilization metrics of the DB instance.
        public let utilizationMetrics: [RDSDBUtilizationMetric]?

        @inlinable
        public init(accountId: String? = nil, currentDBInstanceClass: String? = nil, currentInstancePerformanceRisk: RDSCurrentInstancePerformanceRisk? = nil, currentStorageConfiguration: DBStorageConfiguration? = nil, currentStorageEstimatedMonthlyVolumeIOPsCostVariation: RDSEstimatedMonthlyVolumeIOPsCostVariation? = nil, dbClusterIdentifier: String? = nil, effectiveRecommendationPreferences: RDSEffectiveRecommendationPreferences? = nil, engine: String? = nil, engineVersion: String? = nil, idle: Idle? = nil, instanceFinding: RDSInstanceFinding? = nil, instanceFindingReasonCodes: [RDSInstanceFindingReasonCode]? = nil, instanceRecommendationOptions: [RDSDBInstanceRecommendationOption]? = nil, lastRefreshTimestamp: Date? = nil, lookbackPeriodInDays: Double? = nil, promotionTier: Int? = nil, resourceArn: String? = nil, storageFinding: RDSStorageFinding? = nil, storageFindingReasonCodes: [RDSStorageFindingReasonCode]? = nil, storageRecommendationOptions: [RDSDBStorageRecommendationOption]? = nil, tags: [Tag]? = nil, utilizationMetrics: [RDSDBUtilizationMetric]? = nil) {
            self.accountId = accountId
            self.currentDBInstanceClass = currentDBInstanceClass
            self.currentInstancePerformanceRisk = currentInstancePerformanceRisk
            self.currentStorageConfiguration = currentStorageConfiguration
            self.currentStorageEstimatedMonthlyVolumeIOPsCostVariation = currentStorageEstimatedMonthlyVolumeIOPsCostVariation
            self.dbClusterIdentifier = dbClusterIdentifier
            self.effectiveRecommendationPreferences = effectiveRecommendationPreferences
            self.engine = engine
            self.engineVersion = engineVersion
            self.idle = idle
            self.instanceFinding = instanceFinding
            self.instanceFindingReasonCodes = instanceFindingReasonCodes
            self.instanceRecommendationOptions = instanceRecommendationOptions
            self.lastRefreshTimestamp = lastRefreshTimestamp
            self.lookbackPeriodInDays = lookbackPeriodInDays
            self.promotionTier = promotionTier
            self.resourceArn = resourceArn
            self.storageFinding = storageFinding
            self.storageFindingReasonCodes = storageFindingReasonCodes
            self.storageRecommendationOptions = storageRecommendationOptions
            self.tags = tags
            self.utilizationMetrics = utilizationMetrics
        }

        private enum CodingKeys: String, CodingKey {
            case accountId = "accountId"
            case currentDBInstanceClass = "currentDBInstanceClass"
            case currentInstancePerformanceRisk = "currentInstancePerformanceRisk"
            case currentStorageConfiguration = "currentStorageConfiguration"
            case currentStorageEstimatedMonthlyVolumeIOPsCostVariation = "currentStorageEstimatedMonthlyVolumeIOPsCostVariation"
            case dbClusterIdentifier = "dbClusterIdentifier"
            case effectiveRecommendationPreferences = "effectiveRecommendationPreferences"
            case engine = "engine"
            case engineVersion = "engineVersion"
            case idle = "idle"
            case instanceFinding = "instanceFinding"
            case instanceFindingReasonCodes = "instanceFindingReasonCodes"
            case instanceRecommendationOptions = "instanceRecommendationOptions"
            case lastRefreshTimestamp = "lastRefreshTimestamp"
            case lookbackPeriodInDays = "lookbackPeriodInDays"
            case promotionTier = "promotionTier"
            case resourceArn = "resourceArn"
            case storageFinding = "storageFinding"
            case storageFindingReasonCodes = "storageFindingReasonCodes"
            case storageRecommendationOptions = "storageRecommendationOptions"
            case tags = "tags"
            case utilizationMetrics = "utilizationMetrics"
        }
    }

    public struct RDSDBRecommendationFilter: AWSEncodableShape {
        ///  The name of the filter.   Specify Finding to return recommendations with a specific finding classification.  You can filter your DB instance recommendations by tag:key  and tag-key tags. A tag:key is a key and value combination of a tag assigned to your  DB instance recommendations. Use the tag key in the filter name and the tag value  as the filter value. For example, to find all DB instance recommendations that have  a tag with the key of Owner and the value of TeamA,  specify tag:Owner for the filter name and TeamA for the filter value. A tag-key is the key of a tag assigned to your DB instance recommendations. Use  this filter to find all of your DB instance recommendations that have a tag with a  specific key. This doesn’t consider the tag value. For example, you can find  your DB instance recommendations with a tag key value of Owner or without any tag  keys assigned.
        public let name: RDSDBRecommendationFilterName?
        ///  The value of the filter.
        public let values: [String]?

        @inlinable
        public init(name: RDSDBRecommendationFilterName? = nil, values: [String]? = nil) {
            self.name = name
            self.values = values
        }

        private enum CodingKeys: String, CodingKey {
            case name = "name"
            case values = "values"
        }
    }

    public struct RDSDBStorageRecommendationOption: AWSDecodableShape {
        ///  The projected level of variation in monthly I/O costs for the DB storage recommendation option.
        public let estimatedMonthlyVolumeIOPsCostVariation: RDSEstimatedMonthlyVolumeIOPsCostVariation?
        ///  The rank identifier of the DB storage recommendation option.
        public let rank: Int?
        public let savingsOpportunity: SavingsOpportunity?
        ///  Describes the savings opportunity for DB storage recommendations or for the recommendation option.   Savings opportunity represents the estimated monthly savings after applying Savings Plans discounts. You can achieve this by implementing a given Compute Optimizer recommendation.
        public let savingsOpportunityAfterDiscounts: RDSStorageSavingsOpportunityAfterDiscounts?
        ///  The recommended storage configuration.
        public let storageConfiguration: DBStorageConfiguration?

        @inlinable
        public init(estimatedMonthlyVolumeIOPsCostVariation: RDSEstimatedMonthlyVolumeIOPsCostVariation? = nil, rank: Int? = nil, savingsOpportunity: SavingsOpportunity? = nil, savingsOpportunityAfterDiscounts: RDSStorageSavingsOpportunityAfterDiscounts? = nil, storageConfiguration: DBStorageConfiguration? = nil) {
            self.estimatedMonthlyVolumeIOPsCostVariation = estimatedMonthlyVolumeIOPsCostVariation
            self.rank = rank
            self.savingsOpportunity = savingsOpportunity
            self.savingsOpportunityAfterDiscounts = savingsOpportunityAfterDiscounts
            self.storageConfiguration = storageConfiguration
        }

        private enum CodingKeys: String, CodingKey {
            case estimatedMonthlyVolumeIOPsCostVariation = "estimatedMonthlyVolumeIOPsCostVariation"
            case rank = "rank"
            case savingsOpportunity = "savingsOpportunity"
            case savingsOpportunityAfterDiscounts = "savingsOpportunityAfterDiscounts"
            case storageConfiguration = "storageConfiguration"
        }
    }

    public struct RDSDBUtilizationMetric: AWSDecodableShape {
        ///  The name of the utilization metric.
        public let name: RDSDBMetricName?
        ///  The statistic of the utilization metric.  The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the Maximum statistic, which is the highest value observed during the specified period. The Compute Optimizer console displays graphs for some utilization metrics using the Average statistic, which is the value of Sum / SampleCount during the specified period. For more information, see Viewing resource recommendations in the Compute Optimizer User Guide. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the Amazon CloudWatch User Guide.
        public let statistic: RDSDBMetricStatistic?
        ///  The value of the utilization metric.
        public let value: Double?

        @inlinable
        public init(name: RDSDBMetricName? = nil, statistic: RDSDBMetricStatistic? = nil, value: Double? = nil) {
            self.name = name
            self.statistic = statistic
            self.value = value
        }

        private enum CodingKeys: String, CodingKey {
            case name = "name"
            case statistic = "statistic"
            case value = "value"
        }
    }

    public struct RDSDatabaseProjectedMetric: AWSDecodableShape {
        ///  The name of the projected metric.
        public let name: RDSDBMetricName?
        ///  The timestamps of the projected metric.
        public let timestamps: [Date]?
        ///  The values for the projected metric.
        public let values: [Double]?

        @inlinable
        public init(name: RDSDBMetricName? = nil, timestamps: [Date]? = nil, values: [Double]? = nil) {
            self.name = name
            self.timestamps = timestamps
            self.values = values
        }

        private enum CodingKeys: String, CodingKey {
            case name = "name"
            case timestamps = "timestamps"
            case values = "values"
        }
    }

    public struct RDSDatabaseRecommendedOptionProjectedMetric: AWSDecodableShape {
        ///  An array of objects that describe the projected metric.
        public let projectedMetrics: [RDSDatabaseProjectedMetric]?
        ///  The rank identifier of the Amazon Aurora or RDS DB instance recommendation option.
        public let rank: Int?
        ///  The recommended DB instance class for the Amazon Aurora or RDS database.
        public let recommendedDBInstanceClass: String?

        @inlinable
        public init(projectedMetrics: [RDSDatabaseProjectedMetric]? = nil, rank: Int? = nil, recommendedDBInstanceClass: String? = nil) {
            self.projectedMetrics = projectedMetrics
            self.rank = rank
            self.recommendedDBInstanceClass = recommendedDBInstanceClass
        }

        private enum CodingKeys: String, CodingKey {
            case projectedMetrics = "projectedMetrics"
            case rank = "rank"
            case recommendedDBInstanceClass = "recommendedDBInstanceClass"
        }
    }

    public struct RDSEffectiveRecommendationPreferences: AWSDecodableShape {
        ///  Describes the CPU vendor and architecture for DB instance recommendations.
        public let cpuVendorArchitectures: [CpuVendorArchitecture]?
        /// Describes the activation status of the enhanced infrastructure metrics preference.  A status of Active confirms that the preference is applied in the latest recommendation refresh, and a status of Inactive confirms that it's not yet applied to recommendations.  For more information, see Enhanced infrastructure metrics in the Compute Optimizer User Guide.
        public let enhancedInfrastructureMetrics: EnhancedInfrastructureMetrics?
        ///  The number of days the utilization metrics of the DB instance are analyzed.
        public let lookBackPeriod: LookBackPeriodPreference?
        ///  Describes the savings estimation mode preference applied for calculating savings opportunity for DB instances.
        public let savingsEstimationMode: RDSSavingsEstimationMode?

        @inlinable
        public init(cpuVendorArchitectures: [CpuVendorArchitecture]? = nil, enhancedInfrastructureMetrics: EnhancedInfrastructureMetrics? = nil, lookBackPeriod: LookBackPeriodPreference? = nil, savingsEstimationMode: RDSSavingsEstimationMode? = nil) {
            self.cpuVendorArchitectures = cpuVendorArchitectures
            self.enhancedInfrastructureMetrics = enhancedInfrastructureMetrics
            self.lookBackPeriod = lookBackPeriod
            self.savingsEstimationMode = savingsEstimationMode
        }

        private enum CodingKeys: String, CodingKey {
            case cpuVendorArchitectures = "cpuVendorArchitectures"
            case enhancedInfrastructureMetrics = "enhancedInfrastructureMetrics"
            case lookBackPeriod = "lookBackPeriod"
            case savingsEstimationMode = "savingsEstimationMode"
        }
    }

    public struct RDSInstanceEstimatedMonthlySavings: AWSDecodableShape {
        ///  The currency of the estimated monthly savings.
        public let currency: Currency?
        ///  The value of the estimated monthly savings for DB instances.
        public let value: Double?

        @inlinable
        public init(currency: Currency? = nil, value: Double? = nil) {
            self.currency = currency
            self.value = value
        }

        private enum CodingKeys: String, CodingKey {
            case currency = "currency"
            case value = "value"
        }
    }

    public struct RDSInstanceSavingsOpportunityAfterDiscounts: AWSDecodableShape {
        ///  The estimated monthly savings possible by adopting Compute Optimizer’s DB instance recommendations.  This includes any applicable Savings Plans discounts.
        public let estimatedMonthlySavings: RDSInstanceEstimatedMonthlySavings?
        ///  The estimated monthly savings possible as a percentage of monthly cost by adopting Compute Optimizer’s  DB instance recommendations. This includes any applicable Savings Plans discounts.
        public let savingsOpportunityPercentage: Double?

        @inlinable
        public init(estimatedMonthlySavings: RDSInstanceEstimatedMonthlySavings? = nil, savingsOpportunityPercentage: Double? = nil) {
            self.estimatedMonthlySavings = estimatedMonthlySavings
            self.savingsOpportunityPercentage = savingsOpportunityPercentage
        }

        private enum CodingKeys: String, CodingKey {
            case estimatedMonthlySavings = "estimatedMonthlySavings"
            case savingsOpportunityPercentage = "savingsOpportunityPercentage"
        }
    }

    public struct RDSSavingsEstimationMode: AWSDecodableShape {
        ///  Describes the source for calculating the savings opportunity for DB instances.
        public let source: RDSSavingsEstimationModeSource?

        @inlinable
        public init(source: RDSSavingsEstimationModeSource? = nil) {
            self.source = source
        }

        private enum CodingKeys: String, CodingKey {
            case source = "source"
        }
    }

    public struct RDSStorageEstimatedMonthlySavings: AWSDecodableShape {
        ///  The currency of the estimated monthly savings.
        public let currency: Currency?
        ///  The value of the estimated monthly savings for DB instance storage.
        public let value: Double?

        @inlinable
        public init(currency: Currency? = nil, value: Double? = nil) {
            self.currency = currency
            self.value = value
        }

        private enum CodingKeys: String, CodingKey {
            case currency = "currency"
            case value = "value"
        }
    }

    public struct RDSStorageSavingsOpportunityAfterDiscounts: AWSDecodableShape {
        ///  The estimated monthly savings possible by adopting Compute Optimizer’s DB instance storage recommendations. This includes any applicable Savings Plans discounts.
        public let estimatedMonthlySavings: RDSStorageEstimatedMonthlySavings?
        ///  The estimated monthly savings possible as a percentage of monthly cost by adopting Compute Optimizer’s  DB instance storage recommendations. This includes any applicable Savings Plans discounts.
        public let savingsOpportunityPercentage: Double?

        @inlinable
        public init(estimatedMonthlySavings: RDSStorageEstimatedMonthlySavings? = nil, savingsOpportunityPercentage: Double? = nil) {
            self.estimatedMonthlySavings = estimatedMonthlySavings
            self.savingsOpportunityPercentage = savingsOpportunityPercentage
        }

        private enum CodingKeys: String, CodingKey {
            case estimatedMonthlySavings = "estimatedMonthlySavings"
            case savingsOpportunityPercentage = "savingsOpportunityPercentage"
        }
    }

    public struct ReasonCodeSummary: AWSDecodableShape {
        /// The name of the finding reason code.
        public let name: FindingReasonCode?
        /// The value of the finding reason code summary.
        public let value: Double?

        @inlinable
        public init(name: FindingReasonCode? = nil, value: Double? = nil) {
            self.name = name
            self.value = value
        }

        private enum CodingKeys: String, CodingKey {
            case name = "name"
            case value = "value"
        }
    }

    public struct RecommendationExportJob: AWSDecodableShape {
        /// The timestamp of when the export job was created.
        public let creationTimestamp: Date?
        /// An object that describes the destination of the export file.
        public let destination: ExportDestination?
        /// The reason for an export job failure.
        public let failureReason: String?
        /// The identification number of the export job.
        public let jobId: String?
        /// The timestamp of when the export job was last updated.
        public let lastUpdatedTimestamp: Date?
        /// The resource type of the exported recommendations.
        public let resourceType: ResourceType?
        /// The status of the export job.
        public let status: JobStatus?

        @inlinable
        public init(creationTimestamp: Date? = nil, destination: ExportDestination? = nil, failureReason: String? = nil, jobId: String? = nil, lastUpdatedTimestamp: Date? = nil, resourceType: ResourceType? = nil, status: JobStatus? = nil) {
            self.creationTimestamp = creationTimestamp
            self.destination = destination
            self.failureReason = failureReason
            self.jobId = jobId
            self.lastUpdatedTimestamp = lastUpdatedTimestamp
            self.resourceType = resourceType
            self.status = status
        }

        private enum CodingKeys: String, CodingKey {
            case creationTimestamp = "creationTimestamp"
            case destination = "destination"
            case failureReason = "failureReason"
            case jobId = "jobId"
            case lastUpdatedTimestamp = "lastUpdatedTimestamp"
            case resourceType = "resourceType"
            case status = "status"
        }
    }

    public struct RecommendationPreferences: AWSEncodableShape {
        /// Specifies the CPU vendor and architecture for Amazon EC2 instance and Auto Scaling group recommendations. For example, when you specify AWS_ARM64 with:   A GetEC2InstanceRecommendations or GetAutoScalingGroupRecommendations request, Compute Optimizer returns recommendations that consist of Graviton instance types only.   A GetEC2RecommendationProjectedMetrics request, Compute Optimizer returns projected utilization metrics for Graviton instance type recommendations only.   A ExportEC2InstanceRecommendations or ExportAutoScalingGroupRecommendations request, Compute Optimizer exports recommendations that consist of Graviton instance types only.
        public let cpuVendorArchitectures: [CpuVendorArchitecture]?

        @inlinable
        public init(cpuVendorArchitectures: [CpuVendorArchitecture]? = nil) {
            self.cpuVendorArchitectures = cpuVendorArchitectures
        }

        private enum CodingKeys: String, CodingKey {
            case cpuVendorArchitectures = "cpuVendorArchitectures"
        }
    }

    public struct RecommendationPreferencesDetail: AWSDecodableShape {
        /// The status of the enhanced infrastructure metrics recommendation preference. When the recommendations page is refreshed, a status of Active confirms that the preference is applied to the recommendations, and a status of Inactive confirms that the preference isn't yet applied to recommendations. For more information, see Enhanced infrastructure metrics in the Compute Optimizer User Guide.
        public let enhancedInfrastructureMetrics: EnhancedInfrastructureMetrics?
        ///  An object that describes the external metrics recommendation preference.  If the preference is applied in the latest recommendation refresh, an object with a valid source value appears in the response. If the preference isn't applied to the recommendations already, then this object doesn't appear in the response.
        public let externalMetricsPreference: ExternalMetricsPreference?
        /// The status of the inferred workload types recommendation preference. When the recommendations page is refreshed, a status of Active confirms that the preference is applied to the recommendations, and a status of Inactive confirms that the preference isn't yet applied to recommendations.
        public let inferredWorkloadTypes: InferredWorkloadTypesPreference?
        ///  The preference to control the number of days the utilization metrics of the Amazon Web Services resource are analyzed.  If the preference isn’t set, this object is null.
        public let lookBackPeriod: LookBackPeriodPreference?
        ///  The preference to control which resource type values are considered when generating rightsizing recommendations.  This object resolves any wildcard expressions and returns the effective list of candidate resource type values.  If the preference isn’t set, this object is null.
        public let preferredResources: [EffectivePreferredResource]?
        /// The target resource type of the recommendation preference to create. The Ec2Instance option encompasses standalone instances and instances that are part of Auto Scaling groups. The AutoScalingGroup option encompasses only instances that are part of an Auto Scaling group.
        public let resourceType: ResourceType?
        ///  Describes the savings estimation mode used for calculating savings opportunity.   Only the account manager or delegated administrator of your organization can activate this preference.
        public let savingsEstimationMode: SavingsEstimationMode?
        /// An object that describes the scope of the recommendation preference. Recommendation preferences can be created at the organization level (for management accounts of an organization only), account level, and resource level. For more information, see Activating enhanced infrastructure metrics in the Compute Optimizer User Guide.
        public let scope: Scope?
        ///  The preference to control the resource’s CPU utilization threshold, CPU utilization headroom, and memory utilization headroom.  If the preference isn’t set, this object is null.    This preference is only available for the Amazon EC2 instance resource type.
        public let utilizationPreferences: [UtilizationPreference]?

        @inlinable
        public init(enhancedInfrastructureMetrics: EnhancedInfrastructureMetrics? = nil, externalMetricsPreference: ExternalMetricsPreference? = nil, inferredWorkloadTypes: InferredWorkloadTypesPreference? = nil, lookBackPeriod: LookBackPeriodPreference? = nil, preferredResources: [EffectivePreferredResource]? = nil, resourceType: ResourceType? = nil, savingsEstimationMode: SavingsEstimationMode? = nil, scope: Scope? = nil, utilizationPreferences: [UtilizationPreference]? = nil) {
            self.enhancedInfrastructureMetrics = enhancedInfrastructureMetrics
            self.externalMetricsPreference = externalMetricsPreference
            self.inferredWorkloadTypes = inferredWorkloadTypes
            self.lookBackPeriod = lookBackPeriod
            self.preferredResources = preferredResources
            self.resourceType = resourceType
            self.savingsEstimationMode = savingsEstimationMode
            self.scope = scope
            self.utilizationPreferences = utilizationPreferences
        }

        private enum CodingKeys: String, CodingKey {
            case enhancedInfrastructureMetrics = "enhancedInfrastructureMetrics"
            case externalMetricsPreference = "externalMetricsPreference"
            case inferredWorkloadTypes = "inferredWorkloadTypes"
            case lookBackPeriod = "lookBackPeriod"
            case preferredResources = "preferredResources"
            case resourceType = "resourceType"
            case savingsEstimationMode = "savingsEstimationMode"
            case scope = "scope"
            case utilizationPreferences = "utilizationPreferences"
        }
    }

    public struct RecommendationSource: AWSDecodableShape {
        /// The Amazon Resource Name (ARN) of the recommendation source.
        public let recommendationSourceArn: String?
        /// The resource type of the recommendation source.
        public let recommendationSourceType: RecommendationSourceType?

        @inlinable
        public init(recommendationSourceArn: String? = nil, recommendationSourceType: RecommendationSourceType? = nil) {
            self.recommendationSourceArn = recommendationSourceArn
            self.recommendationSourceType = recommendationSourceType
        }

        private enum CodingKeys: String, CodingKey {
            case recommendationSourceArn = "recommendationSourceArn"
            case recommendationSourceType = "recommendationSourceType"
        }
    }

    public struct RecommendationSummary: AWSDecodableShape {
        /// The Amazon Web Services account ID of the recommendation summary.
        public let accountId: String?
        public let aggregatedSavingsOpportunity: SavingsOpportunity?
        /// An object that describes the performance risk ratings for a given resource type.
        public let currentPerformanceRiskRatings: CurrentPerformanceRiskRatings?
        public let idleSavingsOpportunity: SavingsOpportunity?
        ///  Describes the findings summary of the idle resources.
        public let idleSummaries: [IdleSummary]?
        ///  An array of objects that describes the estimated monthly saving amounts for the instances running on the specified  inferredWorkloadTypes. The array contains the top five savings opportunites for the instances that run  inferred workload types.
        public let inferredWorkloadSavings: [InferredWorkloadSaving]?
        /// The resource type that the recommendation summary applies to.
        public let recommendationResourceType: RecommendationSourceType?
        /// An object that describes the savings opportunity for a given resource type. Savings opportunity includes the estimated monthly savings amount and percentage.
        public let savingsOpportunity: SavingsOpportunity?
        /// An array of objects that describe a recommendation summary.
        public let summaries: [Summary]?

        @inlinable
        public init(accountId: String? = nil, aggregatedSavingsOpportunity: SavingsOpportunity? = nil, currentPerformanceRiskRatings: CurrentPerformanceRiskRatings? = nil, idleSavingsOpportunity: SavingsOpportunity? = nil, idleSummaries: [IdleSummary]? = nil, inferredWorkloadSavings: [InferredWorkloadSaving]? = nil, recommendationResourceType: RecommendationSourceType? = nil, savingsOpportunity: SavingsOpportunity? = nil, summaries: [Summary]? = nil) {
            self.accountId = accountId
            self.aggregatedSavingsOpportunity = aggregatedSavingsOpportunity
            self.currentPerformanceRiskRatings = currentPerformanceRiskRatings
            self.idleSavingsOpportunity = idleSavingsOpportunity
            self.idleSummaries = idleSummaries
            self.inferredWorkloadSavings = inferredWorkloadSavings
            self.recommendationResourceType = recommendationResourceType
            self.savingsOpportunity = savingsOpportunity
            self.summaries = summaries
        }

        private enum CodingKeys: String, CodingKey {
            case accountId = "accountId"
            case aggregatedSavingsOpportunity = "aggregatedSavingsOpportunity"
            case currentPerformanceRiskRatings = "currentPerformanceRiskRatings"
            case idleSavingsOpportunity = "idleSavingsOpportunity"
            case idleSummaries = "idleSummaries"
            case inferredWorkloadSavings = "inferredWorkloadSavings"
            case recommendationResourceType = "recommendationResourceType"
            case savingsOpportunity = "savingsOpportunity"
            case summaries = "summaries"
        }
    }

    public struct RecommendedOptionProjectedMetric: AWSDecodableShape {
        /// An array of objects that describe a projected utilization metric.
        public let projectedMetrics: [ProjectedMetric]?
        /// The rank of the recommendation option projected metric. The top recommendation option is ranked as 1. The projected metric rank correlates to the recommendation option rank. For example, the projected metric ranked as 1 is related to the recommendation option that is also ranked as 1 in the same response.
        public let rank: Int?
        /// The recommended instance type.
        public let recommendedInstanceType: String?

        @inlinable
        public init(projectedMetrics: [ProjectedMetric]? = nil, rank: Int? = nil, recommendedInstanceType: String? = nil) {
            self.projectedMetrics = projectedMetrics
            self.rank = rank
            self.recommendedInstanceType = recommendedInstanceType
        }

        private enum CodingKeys: String, CodingKey {
            case projectedMetrics = "projectedMetrics"
            case rank = "rank"
            case recommendedInstanceType = "recommendedInstanceType"
        }
    }

    public struct S3Destination: AWSDecodableShape {
        /// The name of the Amazon S3 bucket used as the destination of an export file.
        public let bucket: String?
        /// The Amazon S3 bucket key of an export file. The key uniquely identifies the object, or export file, in the S3 bucket.
        public let key: String?
        /// The Amazon S3 bucket key of a metadata file. The key uniquely identifies the object, or metadata file, in the S3 bucket.
        public let metadataKey: String?

        @inlinable
        public init(bucket: String? = nil, key: String? = nil, metadataKey: String? = nil) {
            self.bucket = bucket
            self.key = key
            self.metadataKey = metadataKey
        }

        private enum CodingKeys: String, CodingKey {
            case bucket = "bucket"
            case key = "key"
            case metadataKey = "metadataKey"
        }
    }

    public struct S3DestinationConfig: AWSEncodableShape {
        /// The name of the Amazon S3 bucket to use as the destination for an export job.
        public let bucket: String?
        /// The Amazon S3 bucket prefix for an export job.
        public let keyPrefix: String?

        @inlinable
        public init(bucket: String? = nil, keyPrefix: String? = nil) {
            self.bucket = bucket
            self.keyPrefix = keyPrefix
        }

        private enum CodingKeys: String, CodingKey {
            case bucket = "bucket"
            case keyPrefix = "keyPrefix"
        }
    }

    public struct SavingsOpportunity: AWSDecodableShape {
        /// An object that describes the estimated monthly savings amount possible by adopting Compute Optimizer recommendations for a given resource. This is based on the On-Demand instance pricing..
        public let estimatedMonthlySavings: EstimatedMonthlySavings?
        /// The estimated monthly savings possible as a percentage of monthly cost by adopting Compute Optimizer recommendations for a given resource.
        public let savingsOpportunityPercentage: Double?

        @inlinable
        public init(estimatedMonthlySavings: EstimatedMonthlySavings? = nil, savingsOpportunityPercentage: Double? = nil) {
            self.estimatedMonthlySavings = estimatedMonthlySavings
            self.savingsOpportunityPercentage = savingsOpportunityPercentage
        }

        private enum CodingKeys: String, CodingKey {
            case estimatedMonthlySavings = "estimatedMonthlySavings"
            case savingsOpportunityPercentage = "savingsOpportunityPercentage"
        }
    }

    public struct Scope: AWSEncodableShape & AWSDecodableShape {
        /// The name of the scope. The following scopes are possible:    Organization - Specifies that the recommendation preference applies at the organization level, for all member accounts of an organization.    AccountId - Specifies that the recommendation preference applies at the account level, for all resources of a given resource type in an account.    ResourceArn - Specifies that the recommendation preference applies at the individual resource level.
        public let name: ScopeName?
        /// The value of the scope. If you specified the name of the scope as:    Organization - The value must be ALL_ACCOUNTS.    AccountId - The value must be a 12-digit Amazon Web Services account ID.    ResourceArn - The value must be the Amazon Resource Name (ARN) of an EC2 instance or an Auto Scaling group.   Only EC2 instance and Auto Scaling group ARNs are currently supported.
        public let value: String?

        @inlinable
        public init(name: ScopeName? = nil, value: String? = nil) {
            self.name = name
            self.value = value
        }

        private enum CodingKeys: String, CodingKey {
            case name = "name"
            case value = "value"
        }
    }

    public struct ServiceConfiguration: AWSDecodableShape {
        ///  Describes the Auto Scaling configuration methods for an Amazon ECS service. This affects  the generated recommendations. For example, if Auto Scaling is configured on a  service’s CPU, then Compute Optimizer doesn’t generate CPU size recommendations.  The Auto Scaling configuration methods include:    TARGET_TRACKING_SCALING_CPU — If the Amazon ECS service is configured to use target scaling on CPU, Compute Optimizer doesn't generate CPU recommendations.    TARGET_TRACKING_SCALING_MEMORY — If the Amazon ECS service is configured to use target scaling on memory, Compute Optimizer doesn't generate memory recommendations.   For more information about step scaling and target scaling, see   Step scaling policies for Application Auto Scaling and   Target tracking scaling policies for Application Auto Scaling in the  Application Auto Scaling User Guide.
        public let autoScalingConfiguration: AutoScalingConfiguration?
        ///  The container configurations within a task of an Amazon ECS service.
        public let containerConfigurations: [ContainerConfiguration]?
        ///  The number of CPU units used by the tasks in the Amazon ECS service.
        public let cpu: Int?
        ///  The amount of memory used by the tasks in the Amazon ECS service.
        public let memory: Int?
        ///  The task definition ARN used by the tasks in the Amazon ECS service.
        public let taskDefinitionArn: String?

        @inlinable
        public init(autoScalingConfiguration: AutoScalingConfiguration? = nil, containerConfigurations: [ContainerConfiguration]? = nil, cpu: Int? = nil, memory: Int? = nil, taskDefinitionArn: String? = nil) {
            self.autoScalingConfiguration = autoScalingConfiguration
            self.containerConfigurations = containerConfigurations
            self.cpu = cpu
            self.memory = memory
            self.taskDefinitionArn = taskDefinitionArn
        }

        private enum CodingKeys: String, CodingKey {
            case autoScalingConfiguration = "autoScalingConfiguration"
            case containerConfigurations = "containerConfigurations"
            case cpu = "cpu"
            case memory = "memory"
            case taskDefinitionArn = "taskDefinitionArn"
        }
    }

    public struct Summary: AWSDecodableShape {
        /// The finding classification of the recommendation.
        public let name: Finding?
        /// An array of objects that summarize a finding reason code.
        public let reasonCodeSummaries: [ReasonCodeSummary]?
        /// The value of the recommendation summary.
        public let value: Double?

        @inlinable
        public init(name: Finding? = nil, reasonCodeSummaries: [ReasonCodeSummary]? = nil, value: Double? = nil) {
            self.name = name
            self.reasonCodeSummaries = reasonCodeSummaries
            self.value = value
        }

        private enum CodingKeys: String, CodingKey {
            case name = "name"
            case reasonCodeSummaries = "reasonCodeSummaries"
            case value = "value"
        }
    }

    public struct Tag: AWSDecodableShape {
        ///  One part of a key-value pair that makes up a tag. A key is a general  label that acts like a category for more specific tag values.
        public let key: String?
        ///  One part of a key-value pair that make up a tag. A value acts as a descriptor  within a tag category (key). The value can be empty or null.
        public let value: String?

        @inlinable
        public init(key: String? = nil, value: String? = nil) {
            self.key = key
            self.value = value
        }

        private enum CodingKeys: String, CodingKey {
            case key = "key"
            case value = "value"
        }
    }

    public struct UpdateEnrollmentStatusRequest: AWSEncodableShape {
        /// Indicates whether to enroll member accounts of the organization if the account is the management account of an organization.
        public let includeMemberAccounts: Bool?
        /// The new enrollment status of the account. The following status options are available:    Active - Opts in your account to the Compute Optimizer service. Compute Optimizer begins analyzing the configuration and utilization metrics of your Amazon Web Services resources after you opt in. For more information, see Metrics analyzed by Compute Optimizer in the Compute Optimizer User Guide.    Inactive - Opts out your account from the Compute Optimizer service. Your account's recommendations and related metrics data will be deleted from Compute Optimizer after you opt out.    The Pending and Failed options cannot be used to update the enrollment status of an account. They are returned in the response of a request to update the enrollment status of an account.
        public let status: Status

        @inlinable
        public init(includeMemberAccounts: Bool? = nil, status: Status) {
            self.includeMemberAccounts = includeMemberAccounts
            self.status = status
        }

        private enum CodingKeys: String, CodingKey {
            case includeMemberAccounts = "includeMemberAccounts"
            case status = "status"
        }
    }

    public struct UpdateEnrollmentStatusResponse: AWSDecodableShape {
        /// The enrollment status of the account.
        public let status: Status?
        /// The reason for the enrollment status of the account. For example, an account might show a status of Pending because member accounts of an organization require more time to be enrolled in the service.
        public let statusReason: String?

        @inlinable
        public init(status: Status? = nil, statusReason: String? = nil) {
            self.status = status
            self.statusReason = statusReason
        }

        private enum CodingKeys: String, CodingKey {
            case status = "status"
            case statusReason = "statusReason"
        }
    }

    public struct UtilizationMetric: AWSDecodableShape {
        /// The name of the utilization metric. The following utilization metrics are available:    Cpu - The percentage of allocated EC2 compute units that are currently in use on the instance. This metric identifies the processing power required to run an application on the instance. Depending on the instance type, tools in your operating system can show a lower percentage than CloudWatch when the instance is not allocated a full processor core. Units: Percent    Memory - The percentage of memory that is currently in use on the instance. This metric identifies the amount of memory required to run an application on the instance. Units: Percent  The Memory metric is returned only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling Memory Utilization with the CloudWatch Agent.     GPU - The percentage of allocated GPUs that currently run on  the instance.    GPU_MEMORY - The percentage of total GPU memory that currently runs on  the instance.  The GPU and GPU_MEMORY metrics are only returned for resources  with the unified CloudWatch Agent installed on them. For more information, see  Enabling NVIDIA GPU  utilization with the CloudWatch Agent.     EBS_READ_OPS_PER_SECOND - The completed read operations from all EBS volumes attached to the instance in a specified period of time. Unit: Count    EBS_WRITE_OPS_PER_SECOND - The completed write operations to all EBS volumes attached to the instance in a specified period of time. Unit: Count    EBS_READ_BYTES_PER_SECOND - The bytes read from all EBS volumes attached to the instance in a specified period of time. Unit: Bytes    EBS_WRITE_BYTES_PER_SECOND - The bytes written to all EBS volumes attached to the instance in a specified period of time. Unit: Bytes    DISK_READ_OPS_PER_SECOND - The completed read operations from all instance store volumes available to the instance in a specified period of time. If there are no instance store volumes, either the value is 0 or the metric is not reported.    DISK_WRITE_OPS_PER_SECOND - The completed write operations from all instance store volumes available to the instance in a specified period of time. If there are no instance store volumes, either the value is 0 or the metric is not reported.    DISK_READ_BYTES_PER_SECOND - The bytes read from all instance store volumes available to the instance. This metric is used to determine the volume of the data the application reads from the disk of the instance. This can be used to determine the speed of the application. If there are no instance store volumes, either the value is 0 or the metric is not reported.    DISK_WRITE_BYTES_PER_SECOND - The bytes written to all instance store volumes available to the instance. This metric is used to determine the volume of the data the application writes onto the disk of the instance. This can be used to determine the speed of the application. If there are no instance store volumes, either the value is 0 or the metric is not reported.    NETWORK_IN_BYTES_PER_SECOND - The number of bytes received by the instance on all network interfaces. This metric identifies the volume of incoming network traffic to a single instance.    NETWORK_OUT_BYTES_PER_SECOND - The number of bytes sent out by the instance on all network interfaces. This metric identifies the volume of outgoing network traffic from a single instance.    NETWORK_PACKETS_IN_PER_SECOND - The number of packets received by the instance on all network interfaces. This metric identifies the volume of incoming traffic in terms of the number of packets on a single instance.    NETWORK_PACKETS_OUT_PER_SECOND - The number of packets sent out by the instance on all network interfaces. This metric identifies the volume of outgoing traffic in terms of the number of packets on a single instance.
        public let name: MetricName?
        /// The statistic of the utilization metric. The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the Maximum statistic, which is the highest value observed during the specified period. The Compute Optimizer console displays graphs for some utilization metrics using the Average statistic, which is the value of Sum / SampleCount during the specified period. For more information, see Viewing resource recommendations in the Compute Optimizer User Guide. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the Amazon CloudWatch User Guide.
        public let statistic: MetricStatistic?
        /// The value of the utilization metric.
        public let value: Double?

        @inlinable
        public init(name: MetricName? = nil, statistic: MetricStatistic? = nil, value: Double? = nil) {
            self.name = name
            self.statistic = statistic
            self.value = value
        }

        private enum CodingKeys: String, CodingKey {
            case name = "name"
            case statistic = "statistic"
            case value = "value"
        }
    }

    public struct UtilizationPreference: AWSEncodableShape & AWSDecodableShape {
        ///  The name of the resource utilization metric name to customize.
        public let metricName: CustomizableMetricName?
        ///  The parameters to set when customizing the resource utilization thresholds.
        public let metricParameters: CustomizableMetricParameters?

        @inlinable
        public init(metricName: CustomizableMetricName? = nil, metricParameters: CustomizableMetricParameters? = nil) {
            self.metricName = metricName
            self.metricParameters = metricParameters
        }

        private enum CodingKeys: String, CodingKey {
            case metricName = "metricName"
            case metricParameters = "metricParameters"
        }
    }

    public struct VolumeConfiguration: AWSDecodableShape {
        ///  Contains the image used to boot the instance during launch.
        public let rootVolume: Bool?
        /// The baseline IOPS of the volume.
        public let volumeBaselineIOPS: Int?
        /// The baseline throughput of the volume.
        public let volumeBaselineThroughput: Int?
        /// The burst IOPS of the volume.
        public let volumeBurstIOPS: Int?
        /// The burst throughput of the volume.
        public let volumeBurstThroughput: Int?
        /// The size of the volume, in GiB.
        public let volumeSize: Int?
        /// The volume type. The volume types can be the following:   General Purpose SSD gp2 and gp3    Provisioned IOPS SSD io1, io2, and io2 Block Express    Throughput Optimized HDD st1    Cold HDD sc1    Magnetic volumes standard
        public let volumeType: String?

        @inlinable
        public init(rootVolume: Bool? = nil, volumeBaselineIOPS: Int? = nil, volumeBaselineThroughput: Int? = nil, volumeBurstIOPS: Int? = nil, volumeBurstThroughput: Int? = nil, volumeSize: Int? = nil, volumeType: String? = nil) {
            self.rootVolume = rootVolume
            self.volumeBaselineIOPS = volumeBaselineIOPS
            self.volumeBaselineThroughput = volumeBaselineThroughput
            self.volumeBurstIOPS = volumeBurstIOPS
            self.volumeBurstThroughput = volumeBurstThroughput
            self.volumeSize = volumeSize
            self.volumeType = volumeType
        }

        private enum CodingKeys: String, CodingKey {
            case rootVolume = "rootVolume"
            case volumeBaselineIOPS = "volumeBaselineIOPS"
            case volumeBaselineThroughput = "volumeBaselineThroughput"
            case volumeBurstIOPS = "volumeBurstIOPS"
            case volumeBurstThroughput = "volumeBurstThroughput"
            case volumeSize = "volumeSize"
            case volumeType = "volumeType"
        }
    }

    public struct VolumeRecommendation: AWSDecodableShape {
        /// The Amazon Web Services account ID of the volume.
        public let accountId: String?
        /// An array of objects that describe the current configuration of the volume.
        public let currentConfiguration: VolumeConfiguration?
        /// The risk of the current EBS volume not meeting the performance needs of its workloads. The higher the risk, the more likely the current EBS volume doesn't have sufficient capacity.
        public let currentPerformanceRisk: CurrentPerformanceRisk?
        ///  Describes the effective recommendation preferences for Amazon EBS volume.
        public let effectiveRecommendationPreferences: EBSEffectiveRecommendationPreferences?
        /// The finding classification of the volume. Findings for volumes include:     NotOptimized —A volume is considered not optimized when Compute Optimizer identifies a recommendation that can provide better performance for your workload.     Optimized —An volume is considered optimized when Compute Optimizer determines that the volume is correctly provisioned to run your workload based on the chosen volume type. For optimized resources, Compute Optimizer might recommend a new generation volume type.
        public let finding: EBSFinding?
        /// The timestamp of when the volume recommendation was last generated.
        public let lastRefreshTimestamp: Date?
        /// The number of days for which utilization metrics were analyzed for the volume.
        public let lookBackPeriodInDays: Double?
        ///  A list of tags assigned to your Amazon EBS volume recommendations.
        public let tags: [Tag]?
        /// An array of objects that describe the utilization metrics of the volume.
        public let utilizationMetrics: [EBSUtilizationMetric]?
        /// The Amazon Resource Name (ARN) of the current volume.
        public let volumeArn: String?
        /// An array of objects that describe the recommendation options for the volume.
        public let volumeRecommendationOptions: [VolumeRecommendationOption]?

        @inlinable
        public init(accountId: String? = nil, currentConfiguration: VolumeConfiguration? = nil, currentPerformanceRisk: CurrentPerformanceRisk? = nil, effectiveRecommendationPreferences: EBSEffectiveRecommendationPreferences? = nil, finding: EBSFinding? = nil, lastRefreshTimestamp: Date? = nil, lookBackPeriodInDays: Double? = nil, tags: [Tag]? = nil, utilizationMetrics: [EBSUtilizationMetric]? = nil, volumeArn: String? = nil, volumeRecommendationOptions: [VolumeRecommendationOption]? = nil) {
            self.accountId = accountId
            self.currentConfiguration = currentConfiguration
            self.currentPerformanceRisk = currentPerformanceRisk
            self.effectiveRecommendationPreferences = effectiveRecommendationPreferences
            self.finding = finding
            self.lastRefreshTimestamp = lastRefreshTimestamp
            self.lookBackPeriodInDays = lookBackPeriodInDays
            self.tags = tags
            self.utilizationMetrics = utilizationMetrics
            self.volumeArn = volumeArn
            self.volumeRecommendationOptions = volumeRecommendationOptions
        }

        private enum CodingKeys: String, CodingKey {
            case accountId = "accountId"
            case currentConfiguration = "currentConfiguration"
            case currentPerformanceRisk = "currentPerformanceRisk"
            case effectiveRecommendationPreferences = "effectiveRecommendationPreferences"
            case finding = "finding"
            case lastRefreshTimestamp = "lastRefreshTimestamp"
            case lookBackPeriodInDays = "lookBackPeriodInDays"
            case tags = "tags"
            case utilizationMetrics = "utilizationMetrics"
            case volumeArn = "volumeArn"
            case volumeRecommendationOptions = "volumeRecommendationOptions"
        }
    }

    public struct VolumeRecommendationOption: AWSDecodableShape {
        /// An array of objects that describe a volume configuration.
        public let configuration: VolumeConfiguration?
        /// The performance risk of the volume recommendation option. Performance risk is the likelihood of the recommended volume type meeting the performance requirement of your workload. The value ranges from 0 - 4, with 0 meaning that the recommended resource is predicted to always provide enough hardware capability. The higher the performance risk is, the more likely you should validate whether the recommendation will meet the performance requirements of your workload before migrating your resource.
        public let performanceRisk: Double?
        /// The rank of the volume recommendation option. The top recommendation option is ranked as 1.
        public let rank: Int?
        /// An object that describes the savings opportunity for the EBS volume recommendation option. Savings opportunity includes the estimated monthly savings amount and percentage.
        public let savingsOpportunity: SavingsOpportunity?
        ///  An object that describes the savings opportunity for the Amazon EBS volume recommendation option with specific discounts. Savings  opportunity includes the estimated monthly savings  and percentage.
        public let savingsOpportunityAfterDiscounts: EBSSavingsOpportunityAfterDiscounts?

        @inlinable
        public init(configuration: VolumeConfiguration? = nil, performanceRisk: Double? = nil, rank: Int? = nil, savingsOpportunity: SavingsOpportunity? = nil, savingsOpportunityAfterDiscounts: EBSSavingsOpportunityAfterDiscounts? = nil) {
            self.configuration = configuration
            self.performanceRisk = performanceRisk
            self.rank = rank
            self.savingsOpportunity = savingsOpportunity
            self.savingsOpportunityAfterDiscounts = savingsOpportunityAfterDiscounts
        }

        private enum CodingKeys: String, CodingKey {
            case configuration = "configuration"
            case performanceRisk = "performanceRisk"
            case rank = "rank"
            case savingsOpportunity = "savingsOpportunity"
            case savingsOpportunityAfterDiscounts = "savingsOpportunityAfterDiscounts"
        }
    }
}

// MARK: - Errors

/// Error enum for ComputeOptimizer
public struct ComputeOptimizerErrorType: AWSErrorType {
    enum Code: String {
        case accessDeniedException = "AccessDeniedException"
        case internalServerException = "InternalServerException"
        case invalidParameterValueException = "InvalidParameterValueException"
        case limitExceededException = "LimitExceededException"
        case missingAuthenticationToken = "MissingAuthenticationToken"
        case optInRequiredException = "OptInRequiredException"
        case resourceNotFoundException = "ResourceNotFoundException"
        case serviceUnavailableException = "ServiceUnavailableException"
        case throttlingException = "ThrottlingException"
    }

    private let error: Code
    public let context: AWSErrorContext?

    /// initialize ComputeOptimizer
    public init?(errorCode: String, context: AWSErrorContext) {
        guard let error = Code(rawValue: errorCode) else { return nil }
        self.error = error
        self.context = context
    }

    internal init(_ error: Code) {
        self.error = error
        self.context = nil
    }

    /// return error code string
    public var errorCode: String { self.error.rawValue }

    /// You do not have sufficient access to perform this action.
    public static var accessDeniedException: Self { .init(.accessDeniedException) }
    /// An internal error has occurred. Try your call again.
    public static var internalServerException: Self { .init(.internalServerException) }
    /// The value supplied for the input parameter is out of range or not valid.
    public static var invalidParameterValueException: Self { .init(.invalidParameterValueException) }
    /// The request exceeds a limit of the service.
    public static var limitExceededException: Self { .init(.limitExceededException) }
    /// The request must contain either a valid (registered) Amazon Web Services access key ID or X.509 certificate.
    public static var missingAuthenticationToken: Self { .init(.missingAuthenticationToken) }
    /// The account is not opted in to Compute Optimizer.
    public static var optInRequiredException: Self { .init(.optInRequiredException) }
    /// A resource that is required for the action doesn't exist.
    public static var resourceNotFoundException: Self { .init(.resourceNotFoundException) }
    /// The request has failed due to a temporary failure of the server.
    public static var serviceUnavailableException: Self { .init(.serviceUnavailableException) }
    /// The request was denied due to request throttling.
    public static var throttlingException: Self { .init(.throttlingException) }
}

extension ComputeOptimizerErrorType: Equatable {
    public static func == (lhs: ComputeOptimizerErrorType, rhs: ComputeOptimizerErrorType) -> Bool {
        lhs.error == rhs.error
    }
}

extension ComputeOptimizerErrorType: CustomStringConvertible {
    public var description: String {
        return "\(self.error.rawValue): \(self.message ?? "")"
    }
}
